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x402 catalog statistics

catalog_stats
Read-onlyIdempotent

Get an overview of the whole monitored x402 catalog: how many endpoints are monitored, how many fall into each verdict (proceed, caution, avoid, free, insufficient_data), and when scores were last computed. Use it for context or reporting, for example to tell a user how much of the x402 ecosystem passes checks. It says nothing about any single endpoint: use check_endpoint for one endpoint, top_endpoints for a ranked list, or check_payment before paying. Read-only, free, no parameters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
forTeamsNoShort note about team plans (per-agent keys, spend limits, audit trail)
scoredAtYesWhen scores were last computed
byVerdictYesEndpoint count per verdict
endpointsYesEndpoints monitored

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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, openWorldHint=false and destructiveHint=false, so the safety profile is covered; the description reinforces it with 'Read-only, free, no parameters' and adds the useful scope boundary that it reveals nothing about any individual endpoint. The 'free'/'no parameters' notes are mild restatements rather than new behavioral depth, so this sits just below the top.

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 tight sentences, front-loaded with the purpose and the return content before the routing guidance. The trailing 'Read-only, free, no parameters' clause duplicates annotation data and could be trimmed, keeping it short of a 5.

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?

An output schema exists, so return values need not be specified, yet the description still names the key fields. With annotations carrying safety and the description carrying scope, routing, and usage context, an agent has everything needed to select and call this tool 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, so the baseline is 4. The description confirms 'no parameters', which correctly sets the agent's expectation that it can be called bare, though there is no parameter semantics left to explain.

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 an overview of the whole monitored x402 catalog) and enumerates exactly what it returns: endpoint count, verdict distribution across named buckets, and last-computed times. It explicitly distinguishes its scope from per-endpoint tools, so an agent can tell it apart from all five siblings.

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 an explicit use case (context or reporting) and an equally explicit when-not with named alternatives: 'It says nothing about any single endpoint: use check_endpoint for one endpoint, top_endpoints for a ranked list, or check_payment before paying.' 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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