Skip to main content
Glama

list_repos

Read-onlyIdempotent

List the Canton Network GitHub repositories that CCPEDIA has indexed (Canton org repos such as canton-foundation and Daml/Splice, excluding the dev-fund proposals repo), with the count of issues+PRs indexed per repo. CANTON-ONLY and read from CCPEDIA's cache. This is NOT a live GitHub API and does NOT list the user's own repos (use a GitHub MCP for that).

Input Schema

NameRequiredDescriptionDefault

No arguments

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. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false. The description adds genuinely new context: results come from CCPEDIA's cache, not live GitHub, which warns the agent about staleness, and it discloses that each repo carries an indexed issue+PR count. It stops short of saying how fresh the cache is, so not a 5.

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 sentences, front-loaded with the resource and scope, then the behavioral caveat. The parenthetical org list is slightly dense and the 'CANTON-ONLY' emphasis partially repeats the opening clause, costing a small amount of tightness.

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?

There is no output schema, yet the description tells the agent what comes back (repos with per-repo issue+PR counts) and where the data originates (cache, not live API). Combined with annotations covering safety and the empty parameter set, an agent has everything needed to call it correctly.

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?

The tool takes zero parameters and the schema is an empty object at 100% coverage, so there is nothing for the description to disambiguate. Baseline for a 0-param tool is 4.

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?

A specific verb (List) plus resource (Canton Network GitHub repos indexed by CCPEDIA), with scope spelled out: canton-foundation and Daml/Splice orgs, dev-fund proposals repo excluded, plus issue+PR counts. It explicitly distinguishes itself from a live GitHub API and from listing the user's own repos, so an agent can separate it from search_github_issues or an external GitHub MCP.

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?

States when NOT to use it ('NOT a live GitHub API', 'does NOT list the user's own repos – use a GitHub MCP for that'), pointing the agent to the correct alternative. The Canton-only scoping also implicitly rules out non-Canton repo questions.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.