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teppi

Server definition

Hash
sha256:ed3d582c805b1a9065693c3ea5a6fef689c213c2aad45d48f0d7186a24836d50
What it is
What a remote MCP server returned when asked what it offers: 7 tools

The blob, as servednamed by its sha256

{ "instructions": "Query the decided public DOHA security-clearance record: search cases, fetch one case, find similar cases, and compute statistics and timelines. Everything is descriptive of decided public cases; cite the returned URLs.", "tools": [ { "description": "How cases with a candor allegation (falsification, omission, or lack of candor) were resolved in the decided record: the favorable rate with vs without such an allegation, when the judge found a deliberate falsification vs when the applicant rebutted it, and when the applicant corrected the record before being confronted. Counts and denominators throughout. Descriptive, never a prediction.", "inputSchema": { "properties": {}, "type": "object" }, "name": "get_candor_outcomes", "outputSchema": null }, { "description": "Fetch one decided DOHA case in full: what was alleged, the judge's findings per allegation, per-guideline formal findings, outcome, judge, representation, and appeal history. Use case_id from search_cases.", "inputSchema": { "properties": { "case_id": { "description": "The numeric case id from search_cases", "type": "integer" } }, "required": [ "case_id" ], "type": "object" }, "name": "get_case", "outputSchema": null }, { "description": "How much time had passed between the most recent conduct and the decision, measured from dates stated in the decisions, for the incident-type concerns (drugs, alcohol, criminal conduct, sexual behavior, protected information, IT misuse). Reports median years before favorable vs unfavorable decisions, with counts. Descriptive association, never a prediction.", "inputSchema": { "properties": { "guideline": { "description": "Optional single concern letter to scope to: H drugs, G alcohol, J criminal, D sexual behavior, K protected information, M IT misuse", "type": "string" } }, "type": "object" }, "name": "get_conduct_recency", "outputSchema": null }, { "description": "Grant/denial statistics over decided hearing-level DOHA cases, grouped by year or by guideline, always with sample sizes. Same population rules as the site's Insights page.", "inputSchema": { "properties": { "by": { "description": "Grouping (default year)", "enum": [ "year", "guideline" ], "type": "string" }, "guideline": { "description": "Optional single guideline letter A-M to scope to", "type": "string" }, "year_from": { "type": "integer" }, "year_to": { "type": "integer" } }, "type": "object" }, "name": "get_statistics", "outputSchema": null }, { "description": "Measured DOHA timelines: median days from Statement of Reasons to hearing and to decision, from dates stated in the decisions themselves. Optionally scoped to one decision year.", "inputSchema": { "properties": { "year": { "description": "Optional decision year to scope to", "type": "integer" } }, "type": "object" }, "name": "get_timelines", "outputSchema": null }, { "description": "Search 30,000+ decided public DOHA security-clearance decisions (1996 to present). Full-text query plus filters. Returns matching cases with outcome, date, guidelines, and a citable URL each.", "inputSchema": { "properties": { "guideline": { "description": "Single guideline letter A-M (e.g. F = financial, B = foreign influence)", "type": "string" }, "level": { "description": "Decision level", "enum": [ "hearing", "appeal" ], "type": "string" }, "limit": { "description": "Max results, 1-25 (default 10)", "type": "integer" }, "outcome": { "description": "Final outcome filter", "enum": [ "granted", "denied" ], "type": "string" }, "query": { "description": "Full-text search, e.g. \"gambling debts sports betting\"", "type": "string" }, "year_from": { "description": "Earliest decision year, e.g. 2020", "type": "integer" }, "year_to": { "description": "Latest decision year", "type": "integer" } }, "type": "object" }, "name": "search_cases", "outputSchema": null }, { "description": "The most similar decided cases to a given case, ranked by how alike the ALLEGATIONS read (never by outcome). Same list shown on the case page.", "inputSchema": { "properties": { "case_id": { "description": "The numeric case id", "type": "integer" }, "limit": { "description": "Max results, 1-10 (default 5)", "type": "integer" } }, "required": [ "case_id" ], "type": "object" }, "name": "similar_cases", "outputSchema": null } ] }
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