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Compare Public AI Web Evidence

compare_public_machine_web_evidence

Compare observable public machine-web readiness and evidence coverage for two to six public domains.

Input Schema

NameRequiredDescriptionDefault
domainsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, yet it only hints at read-only behavior via 'observable public'. It does not state whether this is a safe read, whether it triggers scanning, auth requirements, or runtime/rate considerations.

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?

A single tight sentence with the action and scope front-loaded and no filler. It says what it needs to say efficiently, though at the cost of omitting details covered elsewhere.

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

Completeness2/5

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

No output schema and no annotations exist, so the description should explain what the comparison returns, yet it only describes the input scope. For a comparison tool whose value is the comparison result, this leaves a significant 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?

Schema description coverage is 0% for the single 'domains' parameter, so the description must compensate. It usefully restates the 2-6 item cardinality ('two to six public domains'), but gives no format guidance (URL vs bare domain) or ordering semantics.

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 a specific verb (Compare) and resource (observable public machine-web readiness and evidence coverage), and the 'two to six public domains' scope signals batch comparison rather than the single-target scan_ai_web_readiness or evaluate_ai_web_readiness. It is clear, though it never explicitly names a sibling to rule it out.

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 explicit when-to-use or when-not-to-use guidance and no alternative tool is named. The 'two to six public domains' constraint implies a multi-domain comparison use case, but an agent must infer when to pick this over scan_ai_web_readiness or evaluate_ai_web_readiness.

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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