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TradePilot Agent Commerce

Retrospective synthesis

tradepilot_service_project_retrospective
Destructive

Turn supplied retrospective notes into themes, evidence, lessons, and specific improvement actions. Uses buyer-supplied information only; no external research or outbound actions. Returns a draft for human review. Price: 0.25 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

A4.2/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=true. The description adds important context: it is a paid service (0.25 USD), requires explicit wallet authorization, and returns a draft for human review. It also clarifies that no external actions are taken, which is valuable given openWorldHint=true. The description does not contradict the annotations; it enriches them.

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?

The description is three sentences with no filler. The core function is front-loaded, followed by scope constraints, then pricing and payment requirements. Every sentence earns its place and the structure is easy to parse.

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?

For a paid synthesis tool with no output schema, the description covers the essential context: what it does, what it does not do, the price, the payment requirement, and the human-review nature of the output. It could be more complete by explaining the payment_signature parameter and the meaning of result_expires, but the core calling context is well covered.

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 description coverage is 0%, so the description must compensate. It names the key input concept ('retrospective notes') and the output components, which maps to the 'source_text' and 'brief' parameters. However, it does not explain the purpose of 'audience', 'result_expires', 'idempotency_key', 'result_signature', or 'payment_signature'. The description adds some meaning but leaves several parameters unexplained.

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?

The description states a specific verb ('Turn... into'), a clear resource (retrospective notes), and the exact output components (themes, evidence, lessons, improvement actions). It also distinguishes itself from the many sibling content-generation tools by naming the input source and the human-review output.

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?

The description clearly states the tool's scope: it uses buyer-supplied information only and performs no external research or outbound actions. This implicitly tells the agent when to use it (when synthesis of supplied notes is needed) and when not to (when external research is required). It does not explicitly name alternative sibling tools, but the scope statement is strong enough to guide selection.

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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