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The MCP Census

Census ecosystem stats

census_stats
Read-onlyIdempotent

Ecosystem headline numbers from the live census (same payload as GET /v1/stats). Unmetered. Returns total servers, healthy/issues counts, popular (gh_stars>=1000), remote-capable count, github-linked count, and captured_at. No invented metrics.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "census_stats"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds genuinely new behavioral context beyond them: the call is unmetered, mirrors a known REST endpoint payload, and contains no derived/invented metrics.

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?

Two tight sentences: the payload identity and cost profile come first, then the returned fields. Every clause carries information an agent would otherwise have to guess.

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?

With no parameters and no output schema, the description compensates by enumerating the returned metrics (totals, healthy/issues, popular, remote-capable, github-linked, captured_at), so an agent knows exactly what this call yields without a schema.

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 there is nothing for the description to disambiguate; the baseline applies. It correctly avoids wasting words on nonexistent inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb-like framing and resource: headline ecosystem numbers from the live census, and enumerates the exact metrics returned. It is unmistakably distinct from siblings like census_changes or census_coverage, though it does not explicitly name an alternative.

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

Usage Guidelines3/5

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

Usage is only implied — it is the overview/headline tool, appropriate before drilling into census_lookup or census_search, but the description never says when to prefer it over those siblings or when it is insufficient. 'Unmetered' is a useful cost hint but not a usage rule.

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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