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Batcave Detective Basic

Detective Basic

detective_basic

Batcave paid product at /v1/audit-claims. The canonical product contract is published by STORE OpenAPI. Price: 0.02 USD via x402. Calling this MCP tool returns the canonical REST/x402 checkout contract; it does not execute the product or charge the caller yet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskNo
claimsYes
job_idNo
evidenceNo
importanceNo
original_taskYes
reasoning_summaryNo
current_conclusionYes
freshness_expectationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

With no annotations, the description carries the transparency burden and does useful work: it states that this is a paid product, prices it at 0.02 USD via x402, and explicitly discloses that calling the tool does not execute the product or charge the caller. Details like auth and rate limits are left to the referenced OpenAPI contract, but the most important side-effect behavior is made clear.

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?

Three short sentences front-load the resource and behavior, then add cost and non-execution caveats. Every sentence adds information: endpoint/product, canonical contract reference, price, and what the call does and does not do.

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?

The tool has nine parameters, no output schema, and no annotations, but the description omits parameter semantics, input examples, expected response format, and when to prefer this over siblings. The reference to the canonical STORE OpenAPI contract helps, but an agent still lacks enough context to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not compensate by explaining any of the nine parameters such as original_task, current_conclusion, claims, evidence, or importance. The endpoint path is the only hint about what the parameters relate to, which is insufficient for an agent to populate them confidently.

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 identifies a specific resource (/v1/audit-claims, the Batcave detective_basic product), a specific action (returns the canonical REST/x402 checkout contract), and explicitly contrasts that with executing the product. It does not name or differentiate sibling tools, so it stops short of 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?

The description implies when to use the tool: to obtain the checkout contract rather than to run the product, reinforced by 'does not execute the product or charge the caller yet.' However, it never explicitly states when not to use it or how it compares with evidence_judge, json_doctor, run_python, or scenario_council.

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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