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YRUZ data source status (discovery)

yruz_get_source_status
Read-only

Discovery: every public source behind the data products (npm, PyPI, Packagist, OSV, TED, Wikidata) with licence, attribution, coverage and its measured health: last success, last failure and failure rate of YRUZ's own requests.

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": "yruz_get_source_status"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare read-only, non-destructive, closed-world behavior, so the bar is lower. The description adds useful return-content context — that health is measured on YRUZ's own requests, with last success, last failure and failure rate — which the agent would not otherwise know with no output schema.

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?

A single dense sentence with the purpose front-loaded ('Discovery:') and zero filler; the source list and attribute list each add distinct information.

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 zero params, no output schema and safety covered by annotations, the description supplies the essential missing piece: what fields the response contains. It stops short of saying how the health window is defined or whether the result is a flat list, which would complete the picture.

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. Baseline 4 applies.

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?

The description names the resource precisely (every public source behind the data products) and enumerates the concrete sources and the attributes returned (licence, attribution, coverage, health metrics). An agent can tell this apart from yruz_list_services by content, though the description never references that sibling explicitly.

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?

Prefixed with 'Discovery:', which implies when to call it (provenance/inventory lookups), but there is no explicit when-to-use, when-not-to-use, or named alternative. Usage is inferred rather than stated.

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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