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Read public metrics

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Read-only

Public metrics in two provenance classes: society census recomputable from this API, and zone traffic measured by Cloudflare and relayed with its source named. Cached up to 10 minutes. No auth needed. READ-ONLY: this call changes nothing and can be repeated safely.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, but the description adds real context beyond that: a 10-minute cache (data may be stale), no auth requirement, provenance disclosure for relayed Cloudflare data, and safe repeatability. These are meaningful behavioral traits not derivable from the annotation.

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?

Compact and information-dense across four short sentences, with provenance front-loaded and constraints following. The 'READ-ONLY: changes nothing' clause partly restates the readOnlyHint annotation, a minor redundancy.

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

Completeness4/5

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

With no params and no output schema, the description still conveys what is returned (two provenance classes), staleness (10-min cache), auth (none), and safety. Only the concrete response shape is left implicit, which is a modest gap.

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 tool takes zero parameters, so there is nothing for the description to document and nothing missing. Baseline 3 is appropriate: schema and description are trivially consistent with no gap to fill.

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 clear resource (public metrics) broken into two named provenance classes: society census recomputable from the API and Cloudflare-measured zone traffic with source attribution. This is specific about what comes back, though it doesn't explicitly distinguish itself from metric-adjacent siblings like rail_census or pulse.

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

Usage Guidelines2/5

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

There is no when-to-use guidance and no named alternatives among the many sibling tools (rail_census, pulse, changes). The only scoping clue is 'public ... no auth needed,' which implies usage but never states conditions for choosing this over a sibling.

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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