Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,071Paid calls: 1,551Letters: 14Defects: 1,323counted 2 min ago
teppi

Server definition

Hash
sha256:28b2aa2084bfd0689ed02585039af79768ade42b7679e79fb48d185fa7bbdd63
What it is
What a remote MCP server returned when asked what it offers: 23 tools

The blob, as servednamed by its sha256

{ "instructions": null, "tools": [ { "description": "See what YOU (this agent) tend to fail on — your recurring failure patterns across past diagnoses. Returns your top failure classes with counts and what share of your failures each is (e.g. 'loop_repeated_tool_call: 12 times, 40%'). Call it before a run to know what to guard against. Token-scoped to your own agent. Free.", "inputSchema": { "properties": { "limit": { "description": "top N patterns (default 5)", "type": "integer" } }, "required": [], "type": "object" }, "name": "agent_memory", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Live MID-RUN budget check (fast, no LLM). Send whatever counters you have and get an advisory on context %, token burn, cost burn, step budget, and off-task drift - with concrete suggested_actions and the projected cost of NOT acting. Call it every few steps to catch a runaway BEFORE you hit a limit. Advisory only (never blocks). Params: step, max_steps, tokens_used, token_budget, cost_used_usd, cost_budget_usd, context_used, context_window.", "inputSchema": { "properties": { "context_used": { "type": "number" }, "context_window": { "type": "number" }, "cost_budget_usd": { "type": "number" }, "cost_used_usd": { "type": "number" }, "format": { "description": "'summary' adds a one-line relayable answer (for chat/Telegram agents); 'summary_only' returns just that line. Default full.", "enum": [ "full", "summary", "summary_only" ], "type": "string" }, "max_steps": { "type": "integer" }, "recent_actions": { "type": "array" }, "step": { "type": "integer" }, "task": { "type": "string" }, "token_budget": { "type": "number" }, "tokens_used": { "type": "number" } }, "required": [], "type": "object" }, "name": "budget_guard", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Given an ORDERED list of errors from a run (oldest first), find the TRUE root — the error that cascaded or shouldn't have been retried — not just the final symptom you see. E.g. a 429 that got retried and triggered a downstream 401: the root is the 429, not the 401. Each error can be a string or {error, retried, action}. Free, no token, no LLM.", "inputSchema": { "properties": { "errors": { "description": "ordered list (oldest first) of error strings or {error, retried:bool, action} objects", "type": "array" } }, "required": [ "errors" ], "type": "object" }, "name": "cascade_root", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Turn your raw logs into a Snapback trace so you don't hand-craft JSON. Pass 'source' = a list of log/step entries, or an object with a spans/steps/messages/events/logs array (OTel spans, OpenAI/LangChain message lists, or generic {tool,input,output} arrays all work). Returns {trace} ready to pass straight to diagnose_trace. Free, no token.", "inputSchema": { "properties": { "hint": { "description": "optional: the framework/format, e.g. 'otel', 'openai'", "type": "string" }, "source": { "description": "your logs: a list, or an object wrapping a spans/steps/messages array" } }, "required": [ "source" ], "type": "object" }, "name": "convert_trace", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "MID-RUN loop check (fast, no LLM, free). Send your recent steps DURING a run; get back whether you're stuck repeating a tool call and a concrete next move. Call this every few steps to catch a loop BEFORE you burn your step budget — don't wait for a postmortem. Non-blocking advice, not a verdict.", "inputSchema": { "properties": { "steps": { "description": "your recent steps (last ~5-10), each with an action/tool and optionally inputs — same step shape as diagnose_trace", "type": "array" }, "threshold": { "description": "how many identical consecutive calls = a loop (default 3)", "type": "integer" } }, "required": [ "steps" ], "type": "object" }, "name": "detect_loop", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Diagnose SEVERAL traces in one call (up to 20). Each trace is metered like a separate diagnose_trace. Returns a verdicts array (per-trace, order preserved); a bad trace in the batch is isolated and doesn't fail the rest. Use for post-run analysis of many failures at once instead of N round-trips.", "inputSchema": { "properties": { "traces": { "description": "array of trace objects (max 20)", "type": "array" } }, "required": [ "traces" ], "type": "object" }, "name": "diagnose_batch", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Diagnose a cryptic AGENT-INFRASTRUCTURE error — payments (x402/EIP-3009), Solana on-chain (ATA, blockhash, compute), MCP protocol, RPC/providers, EVM & Solana wallets, library of VERIFIED fixes the base model often gets wrong. Pass the error text (and optional context). Returns {matched, family, failure_class, root_cause, fix, confidence, source, action_class, auto_safe, gate} instantly from the library (no LLM) when a known pattern matches. Free and no token. GATE CONTRACT for autonomous action: auto-apply the fix ONLY when confidence>=0.85 AND source=='library' AND auto_safe==true (action_class is retry|refetch|config); NEVER auto-apply a 'mutate' or 'destructive' fix (create/change state, money, auth) — escalate those to a human. gate.auto_apply_ok gives you the verdict. Use it the moment you hit a transaction_simulation_failed, BlockhashNotFound, a -32xxx RPC code, a 4001/-32002 wallet error, an attestation failure, or any infra error you can't instantly resolve.", "inputSchema": { "properties": { "action": { "description": "optional: the tool/operation that failed", "type": "string" }, "context": { "description": "optional: what you were doing (e.g. 'paying via x402 on solana')", "type": "string" }, "error": { "description": "the exact error text/message you hit", "type": "string" }, "format": { "description": "'summary' adds a one-line relayable answer (for chat/Telegram agents); 'summary_only' returns just that line. Default full.", "enum": [ "full", "summary", "summary_only" ], "type": "string" } }, "required": [ "error" ], "type": "object" }, "name": "diagnose_infra_error", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Diagnose why an AI agent run failed. Returns a structured verdict (failure_class, failed_at_step, root_cause, fix_suggestion, confidence). LATENCY: known patterns return library-instant (<1s); a NOVEL failure needs an LLM call and can take up to ~25s — set your client timeout to at least 30s, and treat this as async (don't block your agent loop on it).", "inputSchema": { "properties": { "trace": { "description": "OTel-shaped agent trace", "type": "object" } }, "required": [ "trace" ], "type": "object" }, "name": "diagnose_trace", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Check what happened to a pattern you requested (from request_pattern's request_id). Returns pending / approved / rejected / in_library so you can see if your suggestion was actioned — the feedback loop isn't a black box. Free, no token.", "inputSchema": { "properties": { "request_id": { "type": "string" } }, "required": [ "request_id" ], "type": "object" }, "name": "get_request_status", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Fetch a previously produced verdict by its id or by trace_id (your org only).", "inputSchema": { "properties": { "trace_id": { "type": "string" }, "verdict_id": { "type": "string" } }, "required": [], "type": "object" }, "name": "get_verdict", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "See how your feedback + pattern requests have shaped the shared library — how many verdicts you've rated, patterns you've requested, and how many were approved into the library. Turns your input into visible collaboration. Token-scoped to you.", "inputSchema": { "properties": {}, "required": [], "type": "object" }, "name": "my_impact", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "See YOUR current usage + remaining allowance so you can self-govern spend: snapbacks (diagnoses) used/cap/remaining, guard checks used/cap/remaining, estimated spend, % used, and when it resets. Call it periodically to avoid surprises. Token-scoped, free.", "inputSchema": { "properties": {}, "required": [], "type": "object" }, "name": "my_usage", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "BEFORE running: get known failure patterns for a given agent setup so you can avoid them. Returns a ranked list of {failure_class, root_cause, fix_suggestion} from Snapback's library. Call this before executing a plan and self-correct.", "inputSchema": { "properties": { "agent_stack": { "description": "e.g. openclaw, langchain (optional)", "type": "string" }, "limit": { "description": "max cards (default 10)", "type": "integer" }, "tags": { "description": "task facets, e.g. [tool_calling, retrieval] (optional)", "items": { "type": "string" }, "type": "array" } }, "required": [], "type": "object" }, "name": "preflight", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Should you RETRY the same target, SWITCH provider, FALL BACK to another chain, or STOP? Pass the error + your configured topology (current_chain, available_chains, and/or current_provider, available_providers) and get deterministic routing advice with the reason — so a flaky Solana RPC doesn't get retried 5x when you should switch to Base. Free, no token, no LLM. Reads only what you tell it (no network calls).", "inputSchema": { "properties": { "available_chains": { "description": "fallback chains you can use (e.g. ['base','arbitrum'])", "items": { "type": "string" }, "type": "array" }, "available_providers": { "description": "backup providers on the same chain", "items": { "type": "string" }, "type": "array" }, "current_chain": { "description": "the chain you're on (e.g. 'solana')", "type": "string" }, "current_provider": { "description": "the RPC/provider you're using (e.g. 'helius')", "type": "string" }, "error": { "description": "the error you hit", "type": "string" } }, "required": [ "error" ], "type": "object" }, "name": "recommend_failover", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Report the outcome of an auto-applied fix (the self-heal interceptor calls this after it gate-applied a fix and retried). Pass failure_class, family, fix, confidence, action_class, and succeeded (did the retry work?). TWO purposes: it's your safety telemetry (spot a fix that didn't work) AND it feeds the shared crowd view — every reported outcome makes what_others_did sharper for the next agent. Token-scoped (so we know it's your org), free.", "inputSchema": { "properties": { "action_class": { "description": "retry | refetch | config", "type": "string" }, "confidence": { "type": "number" }, "failure_class": { "type": "string" }, "family": { "type": "string" }, "fix": { "description": "the fix that was auto-applied", "type": "string" }, "succeeded": { "description": "did the single retry after the fix succeed?", "type": "boolean" } }, "required": [ "failure_class", "succeeded" ], "type": "object" }, "name": "report_outcome", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Leave us a message: ask us to add a failure pattern to the library, or report a problem we couldn't diagnose well. Use this when diagnose_trace didn't have a good answer, when you keep hitting a failure we don't classify, or when you want a specific kind of problem supported. It goes straight to our roadmap/backlog. Free — no token needed.", "inputSchema": { "properties": { "context": { "description": "optional: the trace/error you couldn't get diagnosed (redacted server-side)", "type": "object" }, "kind": { "description": "'pattern_request' | 'problem' | 'message' (default 'message')", "type": "string" }, "message": { "description": "what you'd like added, or the problem we couldn't solve — be specific", "type": "string" }, "verdict_id": { "description": "optional: the verdict this relates to", "type": "string" } }, "required": [ "message" ], "type": "object" }, "name": "request_pattern", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Search Snapback's documentation for how to use it — how to format a trace, what each tool does, the failure taxonomy, auth, pricing, and errors. Free and needs no token. Call this first if you're unsure how to format a request or what a verdict means.", "inputSchema": { "properties": { "limit": { "description": "max sections to return (default 3)", "type": "integer" }, "query": { "description": "what you want to know, e.g. 'how to format a trace'", "type": "string" } }, "required": [ "query" ], "type": "object" }, "name": "search_docs", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Close a live session and get a short run summary (total steps, duration). Frees the session. Free, no token.", "inputSchema": { "properties": { "session_id": { "type": "string" } }, "required": [ "session_id" ], "type": "object" }, "name": "session_end", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Open a LIVE mid-run session so Snapback can watch your run step-by-step and warn you in real time (loop / token / cost / context) - the always-on guardian mode. Returns a session_id. Free, no token. Call session_step as you run, session_end when done.", "inputSchema": { "properties": { "agent_id": { "description": "optional label for your agent/run", "type": "string" } }, "required": [], "type": "object" }, "name": "session_start", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Report ONE step of a live run and get back any warnings immediately (loop detected / budget breach). Pass the step (action + inputs) and any counters you have (step, max_steps, tokens_used, token_budget, cost_used_usd, cost_budget_usd, context_used, context_window, task, recent_actions. context_window). Warnings are advisory - act on them to self-correct mid-run. Free.", "inputSchema": { "properties": { "counters": { "description": "running counters (tokens/cost/context/max_steps)", "type": "object" }, "loop_threshold": { "description": "identical calls that count as a loop (default 3)", "type": "integer" }, "session_id": { "type": "string" }, "step": { "description": "the step: action/tool + inputs", "type": "object" } }, "required": [ "session_id", "step" ], "type": "object" }, "name": "session_step", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Tell Snapback whether a verdict was correct (correct=true/false), with an optional free-text note (did the fix work? what was wrong?). ONE rating per verdict — call it AFTER you act on a verdict and see the outcome. Your correction updates the SHARED pattern library (fix patterns are shared anonymized so every agent benefits; your trace content is never shared) — a right verdict comes back faster next time, a wrong one gets down-weighted. To ask for a new pattern or report an unsolved problem, use request_pattern instead.", "inputSchema": { "properties": { "correct": { "description": "true if the diagnosis was right, false if not", "type": "boolean" }, "note": { "description": "optional free-text: what worked, what was wrong, or any detail that would help us improve this verdict", "type": "string" }, "verdict_id": { "description": "the verdict you're rating", "type": "string" } }, "required": [ "verdict_id", "correct" ], "type": "object" }, "name": "submit_feedback", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "Approaching a token/context/cost budget mid-run? Pass your counters and get the LEAST-DISRUPTIVE recovery ranked: truncate context | switch to a cheaper model | batch steps | wrap up — scored by speed gained, accuracy lost, cost saved. Turns budget_guard's 'you're at 94%' into 'here's what to do about it'. Free, no token, no LLM.", "inputSchema": { "properties": { "context_used": { "type": "number" }, "context_window": { "type": "number" }, "cost_budget_usd": { "type": "number" }, "cost_used_usd": { "type": "number" }, "recent_actions": { "items": { "type": "string" }, "type": "array" }, "token_budget": { "type": "number" }, "tokens_used": { "type": "number" } }, "required": [], "type": "object" }, "name": "suggest_budget_recovery", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } }, { "description": "THE CROWD: for a failure_class (or pass the family/error and we'll map it), see what OTHER agents did about the same failure and whether it worked — anonymized, aggregated across everyone. Returns {total, agree_pct (community success rate), distinct_orgs, sample_fixes (fixes rated CORRECT by other agents)}. Use it when you hit a failure and want the crowd's verdict on what actually fixes it, not just the single library answer. Free, no token. Privacy-safe: only aggregate counts + a community success rate + the working fixes — never any org, agent, or trace identity. Hidden below a small min-sample so a single report can't be reverse-engineered. This is the network effect: the more agents use Snapback, the sharper this answer gets.", "inputSchema": { "properties": { "error": { "description": "optional: an error string — we'll diagnose it to find the failure_class, then return the crowd outcomes for it", "type": "string" }, "failure_class": { "description": "the failure_class to look up (e.g. 'unhandled_tool_error', 'loop_repeated_tool_call'); or pass 'error' and we map it", "type": "string" } }, "required": [], "type": "object" }, "name": "what_others_did", "outputSchema": { "additionalProperties": true, "description": "A JSON object (returned as text in result.content[0].text). Diagnosis tools return {matched, family, fix, confidence, source, action_class, auto_safe, gate}; other tools return their own JSON result.", "type": "object" } } ] }
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