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matches_query

Read-onlyIdempotent

Read matches. Set action to "list" (optional status/cohortId/format/take filters), "get" (requires matchId), "get_summary" (requires matchId), "search" (requires query), "get_suggested" (requires menteeId, optional limit), or "request_recommendations" (requires menteeId).

Input Schema

NameRequiredDescriptionDefault
takeNo
limitNo
queryNo
actionYes
formatNo
statusNo
matchIdNo
cohortIdNo
menteeIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered by structured data, and 'Read matches' is consistent with it. The description adds no behavioral context beyond that — notably it does not clarify whether request_recommendations triggers any side effect, which its name hints at.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence that opens with the verb and resource, then packs the action-to-parameter routing with no filler. The enumeration is long and run-on but every clause carries distinct information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists and the description says nothing about what any action returns, so an agent cannot tell get from get_summary or get_suggested from request_recommendations beyond their parameter requirements. For a six-action dispatcher this is a meaningful gap, though the parameter routing is complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description carries the full burden, and it does so well: it maps essentially every parameter to the action that consumes it (take/status/cohortId/format to list, matchId to get, query to search, menteeId/limit to get_suggested, menteeId to request_recommendations). It still does not explain semantics such as how 'take' differs from 'limit' or what the format/status enums mean.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Read matches') and enumerates the six sub-operations, which cleanly separates it from the write-side siblings like matches_manage and cancel_match. It never names an alternative tool explicitly, so differentiation is implied rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

For every action it specifies the required parameters (get/get_summary need matchId, search needs query, get_suggested/request_recommendations need menteeId, list takes optional filters), which is strong invocation routing. It stops short of saying when to prefer this tool over a sibling or when a given action is inappropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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