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search_mailing_list

Read-onlyIdempotent

Search across CCPEDIA's indexed Canton mailing-list archives (cip-discuss, cip-vote, grants-discuss, validator-announce, etc). Canton-specific.

Input Schema

NameRequiredDescriptionDefault
groupNoOptional group_slug filter, e.g. "cip-discuss".
limitNoMax rows (default 10).
queryYesFree-text query. Appears in subject or body.
offsetNoSkip this many before returning, for paging past the limit. The response states the full count and echoes the offset used.

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. Changed1 schema field changed
    • addedInput schema / properties / offset
      Added value: +{
      +  "default": 0,
      +  "description": "Skip this many before returning, for paging past the limit. The response states the full count and echoes the offset used.",
      +  "maximum": 9007199254740991,
      +  "minimum": 0,
      +  "type": "integer"
      +}
  3. Changed1 schema field changed
    • changedInput schema / properties / query / description
      Previous value: -"Free-text query — appears in subject or body."New value: +"Free-text query. Appears in subject or body."
  4. 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, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds that the search runs over a pre-built index of specific Canton archives, which is useful scope context, but it says nothing about result ranking, pagination behavior, or empty-result handling beyond what the schema already notes.

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

Conciseness5/5

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

Two sentences, no filler, with the corpus and its scope qualifier front-loaded. Every clause earns its place.

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?

For a read-only, closed-world search tool with a fully documented 4-parameter schema and annotations covering the safety profile, the description supplies the corpus scope an agent needs. The lack of an output schema is partially offset by the offset parameter's note that the response echoes the full count and offset used, though the description itself does not describe return shape.

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

Parameters3/5

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

Schema description coverage is 100%, so group, limit, query, and offset are all already documented in the schema, including the offset's paging semantics and the response's full-count echo. The description adds no parameter-level detail beyond the schema, which is the expected baseline when the schema does the heavy lifting.

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 (search) and resource (Canton mailing-list archives) and enumerates the indexed groups (cip-discuss, cip-vote, grants-discuss, validator-announce), which tells the agent exactly what corpus is covered. It does not, however, distinguish itself from siblings like search, semantic_search, or list_mailing_threads, so an agent must infer the boundary.

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?

Usage is only implied: the enumerated group slugs and the 'Canton-specific' qualifier suggest when this corpus is the right target, but there is no explicit when-to-use, when-not-to-use, or named alternative (e.g. semantic_search for fuzzy lookups, list_mailing_threads for browsing). The agent gets context but no routing guidance.

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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