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canton-ccpedia

by io.github.UnityNodes

get_cip

Read-onlyIdempotent

Fetch the full markdown body of a single Canton Improvement Proposal (CIP) by its ID (e.g. "CIP-0042", "0042", "PR-0117"). Returns only what the proposal SAYS. To learn whether that CIP was approved, enforced, or acted on ON CHAIN, use get_cip_vote_outcome instead: reading the proposal text does not tell you its on-chain fate. For the status timeline use get_cip_history; to browse or filter multiple CIPs use list_cips. Canton/Daml/Splice ecosystem only, not Cardano or other CIP schemes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesCIP ID: "0001", "CIP-0042", or "PR-0117"

Schema Changelog

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

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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 returns only what the proposal says, not its on-chain fate, and that it works only within a specific ecosystem. This adds behavioral context beyond the annotations.

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?

The description is concise, with two purposeful sentences and a short ecosystem note. It front-loads the action and examples, making it easy for an agent to parse quickly.

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

Completeness5/5

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

Given the simple nature of the tool (one parameter, no output schema, read-only), the description is comprehensive. It covers what the tool returns, how to use it, and how it differs from related tools.

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 coverage is 100% with a clear parameter description. The tool description reinforces the ID format and provides additional examples (including bare number '0042'), adding minor extra meaning beyond the schema.

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 it fetches the full markdown body of a single CIP by its ID, with specific examples. It distinguishes itself from sibling tools like get_cip_vote_outcome, get_cip_history, and list_cips, making the purpose unambiguous.

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?

The description explicitly tells when to use this tool (to read what the proposal says) and when not to (for on-chain fate, use get_cip_vote_outcome; for timeline, get_cip_history; for browsing, list_cips). It also notes the ecosystem scope (Canton/Daml/Splice only).

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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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