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GroundedKit Marketing Stats Checker

List verdict types

list_verdicts
Read-onlyIdempotent

The four verdicts (verified, misquoted, outdated, unsourced) with definitions and how many claims carry each, plus confidence levels and dataset info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds useful context about what is returned (definitions, per-verdict counts, confidence levels, dataset info), but does not clarify that the tool takes no arguments or that the result is static reference data.

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 dense sentence that front-loads the four verdicts and then layers in the supplementary content. Every clause (definitions, counts, confidence levels, dataset info) contributes distinct information; the parenthetical enumeration is efficient rather than padded.

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 input parameters, no output schema, and annotations covering the safety profile, the description carries the burden of explaining return content and does so adequately. A brief note that the call is argument-free and returns a fixed reference set would close the remaining gap.

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 of 4 applies. The description correctly implies a no-argument, catalog-style call and does not misrepresent any parameter surface.

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 enumerates exactly what the tool provides: the four named verdict types, their definitions, claim counts per verdict, plus confidence levels and dataset info. That is specific enough to distinguish it from siblings like get_claim or search_claims, though it never states an explicit verb (e.g., 'returns' or 'lists') and leans on the title.

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 on when to call this versus check_stat, get_claim, or search_claims, and no stated conditions or prerequisites. The reference-lookup nature is only implied by the word 'List' and the enumerated static content.

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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