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ANIME INTELLIGENCE / AI PURCHASE INTELLIGENCE

Universal Commerce Coverage

universal_coverage
Read-onlyIdempotent

FREE. Inspect recent autonomous database growth, product-domain demand, market observations, identity keys and provider diversity.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is clear. The description adds useful cost information ('FREE') and lists observed content domains, but does not explain access requirements, freshness, or how the inspection behaves.

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?

The description is a single front-loaded sentence with the cost signal placed first. It is compact, though 'autonomous database growth' remains unexplained and slightly opaque.

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

Completeness3/5

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

Because an output schema exists and annotations are rich, the description does not need to explain return values or safety. However, the listed domains are broad and partly opaque, and the description does not clarify the tool's role relative to adjacent intelligence tools.

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 input schema has zero parameters, so parameter semantics are inherently simple. The description does not need to explain parameter behavior, and the baseline for zero-parameter tools is appropriately high.

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

Purpose3/5

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

The description gives a verb, 'Inspect,' and lists several observation domains: database growth, demand, market observations, identity keys, and provider diversity. It is broad and abstract rather than a specific resource, and it does not distinguish itself from siblings such as full_intelligence or shopping_intelligence.

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?

It states that the tool is FREE, but gives no guidance on when to use it, when not to use it, or how it differs from related intelligence tools. An agent is left to infer its appropriate role among many commerce and intelligence siblings.

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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