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canton-ccpedia

by io.github.UnityNodes

full_context

Read-onlyIdempotent

Single free-text query across CCPEDIA's entire corpus at once: docs, CIPs, forum, mailing, GitHub items, blog, videos, whitepapers, ecosystem projects. Canton-specific. Use for an exhaustive cross-source roundup on a topic described in words, even if that topic happens to be a known CIP's nickname (e.g. 'featured app locking'). This tool does not require a CIP id. If the user already gives a specific CIP id/number, use get_cip_citations instead for a deeper single-CIP citation graph. For narrow single-source searches prefer the specialised tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesTopic / question.
limit_per_sourceNoMax rows per source (default 3).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already provide readOnlyHint, idempotentHint, and destructiveHint. The description adds that it queries multiple sources but does not detail response format or potential rate limits. It is consistent with annotations but adds limited behavioral context beyond them.

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?

The description is a single paragraph that front-loads the core purpose and then provides usage guidance. It is efficient but could be slightly tighter. Every sentence is informative.

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?

Given the low parameter count, 100% schema coverage, and no output schema, the description covers the essential aspects: scope, use cases, and exclusions. It does not describe the response format, but for a search tool this is often implicit. It feels complete enough for an agent to select and invoke correctly.

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 coverage is 100%, and the description reinforces the topic parameter and implies the limit_per_source parameter. It does not add significant additional meaning beyond what the schema provides, so a baseline of 3 is appropriate.

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?

The description clearly states the tool performs a free-text query across CCPEDIA's entire corpus, listing all sources. It distinguishes from siblings like get_cip_citations and specialized single-source tools, specifying that this is for cross-source roundups.

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

Usage Guidelines5/5

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

Explicitly states when to use (exhaustive cross-source roundup on a topic) and when not (if user has a specific CIP ID, use get_cip_citations; for narrow single-source searches, use specialized tools). Provides clear alternatives.

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

All canton-ccpedia toolsInspect
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TDQS

A3.7/5.0
Disambiguation2/5

Many tools have overlapping search/retrieval functionality (search, semantic_search, full_context, search_community, search_github_issues, etc.), and the CIP-specific variants (get_cip, get_cip_history, get_cip_votes, get_cip_mentions, get_cip_citations) are numerous and subtly differentiated. Despite cross-references in the descriptions, the boundaries are fine-grained and an agent is likely to misselect among the 8+ search tools or the 8+ CIP tools.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (get_x, list_x, search_x, find_x). Mixed styles or camelCase are absent, and the verb choice (get, list, search, find, detect, compare) is semantically appropriate to each action, making the naming highly predictable.

Tool Count1/5

With 88 tools, the surface is extremely overgrown for a single server, far exceeding the 25+ 'too many' threshold and approaching the 50+ 'extreme mismatch' category. Even for a comprehensive ecosystem knowledge base, this creates a massive selection burden and makes the tool set unwieldy for agents.

Completeness5/5

The server covers the full Canton ecosystem: docs, forum, mailing lists, GitHub, CIPs, governance, validators, versions, deprecations, security, and media. There are no glaring gaps in the knowledge domain; every major resource type has retrieval and analysis tools, making the coverage exhaustive with no obvious dead ends.

Resources