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canton-ccpedia

by io.github.UnityNodes

get_cip_attachments

Read-onlyIdempotent

Get the file/PDF attachments of a single Canton Improvement Proposal (CIP): supporting documents and signed-vote-record PDFs, with filename, page count, URL, and the full text CCPEDIA has extracted from each. Many older CIPs publish the proposal ITSELF as a PDF and leave only a header block in markdown, so for those this returns the actual proposal text and get_cip returns the index entry. For the parsed who-voted-how breakdown use get_cip_votes. Canton ecosystem only. Not Cardano or other 'CIP' schemes.

Input Schema

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

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, and the description adds valuable behavioral context about PDF extraction and the distinction between full text vs index entry. It does not contradict annotations, though it omits potential edge cases like empty attachment lists or error behavior, so a slight deduction.

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 front-loaded with the core purpose in the first sentence, then adds necessary clarifications about historical context, related tools, and scope. Every sentence earns its place without redundancy or fluff.

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 single-parameter signature and no output schema, the description fully covers what the tool returns (filenames, page counts, URLs, extracted text), addresses the older-CIP ambiguity, and disambiguates from siblings, making it complete for an AI agent.

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?

The only parameter 'id' is fully documented in the schema with examples ('0001', 'CIP-0042'), providing 100% coverage. The description does not need to add parameter syntax, and it doesn't, so a baseline score 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 specifies the action ('Get'), the resource (file/PDF attachments of a single CIP), and the contents (filename, page count, URL, extracted text). It distinguishes from sibling tools like get_cip and get_cip_votes, and clarifies the Canton-only scope, ensuring no ambiguity about what it does.

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 says when to use this tool vs alternatives: 'For the parsed who-voted-how breakdown use get_cip_votes.' It also explains the historical nuance (older CIPs publish proposal as PDF) and warns against non-Canton 'CIP' schemes, giving clear usage context.

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