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get_library_verification_status

Read the actual catalog size, distinct route variants, current verified counts, checks captured today and the latest scheduled sweep. Counts include only native evidence that is still current; inventory rows, aliases and agent callbacks never count as verified.

Input Schema

TableJSON 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?

With no annotations, the description carries the full burden and does real work: it discloses the counting semantics ('only native evidence that is still current') and explicitly excludes inventory rows, aliases and agent callbacks from verified counts. It does not cover freshness/caching of the sweep data or any auth requirements, but the core behavioral trait of the metric is well disclosed.

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 dense sentences with no filler; the list of returned values is front-loaded and the qualifying rule about what counts follows immediately. Every clause earns its place.

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?

There is no output schema and no annotations, so the description must double as the return-value contract, and it enumerates the reported fields plus the verification rule. It omits how fresh the 'latest scheduled sweep' data is and whether results are cached, which keeps it just short of full completeness.

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. There are no parameter semantics to clarify or omit.

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?

Names a specific verb (Read) and resource (library verification status) and enumerates exactly what the status report contains: catalog size, distinct route variants, verified counts, checks captured today, latest sweep. This differentiates it reasonably from siblings like get_route_verification and get_service_overview, though it never names those alternatives 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?

Usage is only implied by the content: the agent can infer this is the aggregate coverage readout. There is no statement of when to prefer it over get_route_verification or get_service_overview, and no prerequisites or invocation conditions are given.

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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