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community_consensus

Read-onlyIdempotent

Surface signals of what the Canton community thinks about a topic: the forum threads that match it best by meaning (views, replies, distinct participants), the mailing-list threads that match best with how many messages mention every term, and the first reply on the best-matching thread. Canton-specific. Not sentiment-analysis; a structured roundup the caller can summarise.

Input Schema

NameRequiredDescriptionDefault
topicYesTopic to assess.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so the safety profile is covered. The description adds useful context about what gets assembled (view/reply/participant counts, per-term message counts, first reply) and explicitly rules out sentiment analysis, but says nothing about matching thresholds, coverage limits, or empty-result behaviour.

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 dense sentence with no filler, and the core purpose is front-loaded. It is somewhat overloaded – three distinct behaviours and a scope disclaimer squeezed into one sentence – but nothing is wasteful.

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

Completeness4/5

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

With no output schema, the description carries the burden of explaining returns, and it does so at a reasonable level (threads with engagement metrics, message counts, first reply). Minor gaps remain around result limits and what happens when no thread matches, but an agent can call it correctly.

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?

There is a single parameter with 100% schema coverage, so the baseline is high. The description adds meaning by explaining that matching is semantic ('match it best by meaning') for forums and term-based for the mailing list, which tells the agent more about how 'topic' is interpreted than the bare schema does.

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?

The description names a specific composite resource – forum threads matched by meaning, mailing-list threads matched by term mentions, plus the first reply on the top thread – so the agent knows this is a roundup rather than a raw search. It does not name the sibling search tools (search_community, search_mailing_list) it could be confused with, 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 Guidelines3/5

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

The clause 'Not sentiment-analysis; a structured roundup the caller can summarise' sets expectations and implicitly tells the agent this is for overall community read rather than per-document lookup, but there is no explicit when-to-use or when-to-prefer-search_community guidance. A reader must infer the boundary from the return-shape description.

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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