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What it checks, and never claims

list_checks
Read-onlyIdempotent

Return the structural checks this server performs on legal-AI output, and — explicitly — what it never claims. Information, not legal advice.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds real behavioral context beyond that: the server discloses not just its checks but explicitly its non-claims, plus a legal-advice disclaimer — useful scoping information an agent cannot get from the annotations.

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?

Roughly twenty words in two sentences/fragments, front-loaded with the primary return content and no filler. Every clause earns its place, including the disclaimer.

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 no parameters and no output schema, the description carries the return-content burden and does so: it says the result covers the checks performed and the non-claims. It does not describe the return shape (list vs. text), which is the only real gap for a zero-input introspection tool.

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 and there is nothing for the description to disambiguate. No parameter-level semantics are needed.

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?

States a specific verb and resource: 'Return the structural checks this server performs on legal-AI output.' The added 'what it never claims' clause makes the returned content distinguishable from metadata siblings like get_descriptor or get_health. It stops short of explicitly naming how it differs from those siblings, so not a 5.

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?

No explicit when-to-use or when-not-to-use statement, and no alternative tool is named. Usage is only implied: an agent should consult this to learn the server's scope and limitations before relying on its reviews. The 'Information, not legal advice' line is a caveat about output, not routing guidance.

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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