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get_foundation_info

Read-onlyIdempotent

Retrieve official Canton Foundation pages (canton.foundation): team and board bios, working groups, membership process, grants program. Free-text topic search over CCPEDIA's index of the canton.foundation site, returning matched-page snippets (not the curated knowledge base). Canton-only. Use when a user asks about Foundation people, governance structure, or member/grant processes.

Input Schema

NameRequiredDescriptionDefault
limitNoHow many matching sections to return. Default 3, max 10.
topicYesFree-text topic, e.g. "team", "executive director", "working groups", "membership", "grants", "board".

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 / limit / description
      Added value: +"How many matching sections to return. Default 3, max 10."
  3. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and non-destructive, so the safety profile is covered. The description adds genuinely new behavioral context: results are matched-page snippets from a site index rather than curated content, and the scope is restricted to canton.foundation. Return shape is mentioned but not pagination or depth behavior.

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?

Three dense sentences, front-loaded with the resource and source, then constraints, then usage. Every sentence carries information, though the topic enumeration is somewhat redundant with the schema examples and could be trimmed.

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 usefully clarifies that results are snippets (not full pages) and scoped to Canton. An agent has enough to call it correctly, though result size, ranking behavior, and snippet granularity are left unstated.

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%, and the schema already lists example topic values ('team', 'working groups', 'membership', 'grants', 'board') matching those in the description. The description thus largely restates the schema's guidance rather than adding syntax, formatting, or matching semantics; baseline 3 is correct.

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

Purpose5/5

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

Specifies a concrete verb and resource ('Retrieve official Canton Foundation pages (canton.foundation)') and enumerates the content types covered: team/board bios, working groups, membership process, grants program. It also explicitly separates itself from the curated knowledge base, so an agent can distinguish it from search/semantic_search siblings.

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?

Gives a clear trigger condition: 'Use when a user asks about Foundation people, governance structure, or member/grant processes.' It also carves out the negative case by noting results are Canton-only and come from the site index rather than the curated KB. It stops short of naming a specific alternative tool, so it falls just under 5.

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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