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TradePilot Agent Commerce

Strict JSON validator and formatter

tradepilot_service_json_validate_format
Destructive

Validate JSON and return two-space formatting. Rejects duplicate object keys, excessive nesting and numbers that cannot be represented without changing their decimal value. No JSON Schema evaluation or remote reference fetching. Price: 0.01 USD. Payment requires explicit wallet authorization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes
result_expiresNo
idempotency_keyNo
result_signatureNo
payment_signatureNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Adds significant context beyond annotations: strict validation rules, the two-space formatting output, and the paid nature with wallet authorization. The annotations indicate readOnlyHint=false and destructiveHint=true, and the description's mention of payment and strict validation aligns with non-trivial side effects. No contradiction found.

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 deliver purpose, constraints, exclusions, price, and authorization requirement without fluff. The critical information is front-loaded, and every sentence adds value.

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?

For a paid tool with no output schemaable and multiple undocumented parameters, the description lacks enough context. It explains the core functionality and output (formatted JSON) but omits parameter semantics, error behavior, and how the payment/authorization flow affects results. Some gaps are acceptable given the schema but the overall picture is incomplete.

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 explain any of the five parameters. The required 'input' is only implicitly hinted by 'Validate JSON', while parameters like result_expires, idempotency_key, result_signature, and payment_signature are completely opaque. The description fails to compensate for the schema's lack of semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: 'Validate JSON and return two-space formatting.' It further distinguishes itself by listing what it rejects (duplicate keys, excessive nesting, non-representable numbers) and what it does not do (JSON Schema evaluation, remote reference fetching). This clearly separates it from the many content-generation sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit when-not-to-use guidance by excluding JSON Schema evaluation and remote reference fetching, which helps an agent avoid this tool for those needs. It also mentions the payment prerequisite ('requires explicit wallet authorization'). However, it does not name any alternative tool for schema validation or other use cases, so the guidance is not fully complete.

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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