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GoAI Moat Claim Verifier

Verify Claim

verify_claim

Verify a business claim against a zero-fiction fact library.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
claimYesThe claim/statement to verify (e.g. "65% of searches are zero-click").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Verify' implies a read-only lookup against a library, but the description does not state whether the tool writes anything, requires authentication, has rate limits, or how it handles claims not found in the library. For a tool with zero annotation coverage, this is a meaningful gap.

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 sentence with zero wasted words. The verb and resource are front-loaded, and the qualifying context ('zero-fiction fact library') is placed at the end. Every word earns its place.

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?

An output schema exists, so return values are covered. With only one well-documented parameter, the tool is structurally simple. However, the phrase 'zero-fiction fact library' is unexplained — an agent may not know what this library contains or how verification results are expressed. Slightly more context on the verification process would improve completeness.

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 coverage is 100%, so the schema fully documents the single 'claim' parameter, including a concrete example. The description adds no additional meaning about the parameter beyond what the schema provides. Baseline 3 is appropriate when the schema does the heavy lifting.

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 states a specific verb ('verify') and resource ('a business claim') with an identifiable context ('zero-fiction fact library'). It is clear about what the tool does. However, it does not explicitly distinguish itself from its siblings (audit_text, zero_fiction_checklist) — the distinction is only implied by the different verbs and noun phrases in their names.

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?

No guidance is given on when to use this tool versus its siblings. There is no mention of when verification is appropriate, what kinds of claims it handles, or when audit_text or zero_fiction_checklist would be the better choice. The agent is left to infer usage from the name alone.

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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