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get_network_stats

Read-onlyIdempotent

Get CCPEDIA's CONTENT-CATALOG metrics: how many Canton items CCPEDIA has indexed. Counts of CIPs (total/in-review/final), forum topics & posts, GitHub issues/PRs, dev-fund proposals, docs pages, videos, blog posts, mailing threads, and radar items. This is CCPEDIA coverage/inventory, NOT live Canton on-chain stats. For on-chain validators/rounds use get_network_state, for price/TVL use get_token_market.

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

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and non-open-world, so the safety profile is covered. The description adds genuinely new behavioral context by clarifying that the data is CCPEDIA's static content-catalog inventory rather than a live on-chain feed. It does not describe response shape or pagination, but with annotations doing the heavy lifting and no output schema this is a minor gap.

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?

Three sentences, front-loaded with the core purpose, then the enumerated inventory categories, then the negative scope and routing. No wasted text; each clause earns its place.

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?

For a zero-parameter, read-only tool with no output schema, the description supplies the missing return-value context by enumerating the counted categories (CIPs, forum topics/posts, GitHub issues/PRs, dev-fund proposals, docs, videos, blog posts, mailing threads, radar items) and rules out on-chain interpretation. An agent has everything needed to select and call it.

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, so per the rubric the baseline is 4. The description correctly does not invent parameter guidance and instead spends its budget on output-category scope.

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?

States a specific verb and resource ('Get CCPEDIA's CONTENT-CATALOG metrics') and immediately scopes it to indexed inventory rather than live chain data. It explicitly names the sibling tools it is not (get_network_state, get_token_market), so an agent can distinguish it without opening any schema.

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?

Gives explicit when-to-use and when-not-to-use guidance, including the exact conditions that route to alternatives: 'For on-chain validators/rounds use get_network_state, for price/TVL use get_token_market.' Nothing is left to inference.

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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