Server definition

Hash: sha256:be5c3d48c8d0b8dfeecaf2d818e2ae09faa7ae0da81ec982ec59c8c46532184f
What it is: What a remote MCP server returned when asked what it offers: 1 tools

The blob, as servednamed by its sha256

{
  "instructions": null,
  "tools": [
    {
      "description": "Checks whether a task can be handled by a local model instead of a cloud API. Call this BEFORE your agent routes any task to a cloud model — at the moment a task is ready to be sent and the model has not yet been selected. Use this when your agent is about to make a cloud inference call and wants to determine whether a local model could handle it at lower cost. Returns LOCAL/CLOUD/EITHER verdict with recommended model. If verdict is LOCAL, skip the cloud call entirely — saves cost on every routable inference call. Pass data_sensitivity=CONFIDENTIAL to force LOCAL verdict for tasks that must not leave the machine. Do not route to cloud without checking local viability first.",
      "inputSchema": {
        "properties": {
          "data_sensitivity": {
            "description": "CONFIDENTIAL forces LOCAL verdict regardless of task complexity — data must not leave the machine. Defaults to PUBLIC.",
            "enum": [
              "PUBLIC",
              "INTERNAL",
              "CONFIDENTIAL"
            ],
            "type": "string"
          },
          "quality_threshold": {
            "description": "PRODUCTION = output quality matters and errors are costly. PROTOTYPE = approximate results acceptable. BEST_EFFORT = speed and cost trump quality. Defaults to PRODUCTION.",
            "enum": [
              "PRODUCTION",
              "PROTOTYPE",
              "BEST_EFFORT"
            ],
            "type": "string"
          },
          "task": {
            "description": "The exact task you are about to send to a cloud model. Be specific — include what the input is and what output you need.",
            "type": "string"
          }
        },
        "required": [
          "task"
        ],
        "type": "object"
      },
      "name": "check_local_viability",
      "outputSchema": {
        "additionalProperties": true,
        "properties": {
          "_disclaimer": {
            "type": "string"
          },
          "analysis_type": {
            "type": "string"
          },
          "checked_at": {
            "format": "date-time",
            "type": "string"
          },
          "cloud_justified_reason": {
            "description": "Non-null only when verdict is CLOUD",
            "type": [
              "string",
              "null"
            ]
          },
          "confidence": {
            "enum": [
              "HIGH",
              "MEDIUM",
              "LOW"
            ],
            "type": "string"
          },
          "data_sensitivity": {
            "enum": [
              "PUBLIC",
              "INTERNAL",
              "CONFIDENTIAL"
            ],
            "type": "string"
          },
          "data_sensitivity_override": {
            "description": "Present only when data_sensitivity=CONFIDENTIAL forced a LOCAL verdict",
            "type": "boolean"
          },
          "estimated_cost_saving": {
            "type": "string"
          },
          "reason": {
            "type": "string"
          },
          "recommended_local_models": {
            "description": "Present when verdict is LOCAL or EITHER",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "task_quality_threshold": {
            "enum": [
              "PRODUCTION",
              "PROTOTYPE",
              "BEST_EFFORT"
            ],
            "type": "string"
          },
          "verdict": {
            "enum": [
              "LOCAL",
              "CLOUD",
              "EITHER"
            ],
            "type": "string"
          }
        },
        "required": [
          "verdict",
          "confidence",
          "reason",
          "checked_at",
          "_disclaimer"
        ],
        "type": "object"
      }
    }
  ]
}

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