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FindMyPart

Prepare a human-confirmed FindMyPart checkout

prepare_part_hunt_checkout

After the human explicitly agrees to pay for the selected hunt, reserve the hunt and prepare a secure checkout URL. This creates a checkout session but does not charge the user and does not prove payment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
emailYes
phoneNo
domainNo
urgencyNo
locationNo
asset_infoNo
offer_slugYes
request_idNo
part_descriptionYes
user_confirmed_paymentYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already indicate this is not read-only (readOnlyHint=false). The description adds meaningful behavioral context: it creates a session, does not charge, and does not prove payment, plus implies a reservation side effect. This is beyond the structured fields and no contradiction exists.

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?

Two sentences, front-loaded with the condition and action, and no wasted words. It efficiently conveys the core purpose and the non-charging nuance.

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 involves complex state changes and 11 parameters, but the description does not mention the output format (e.g., how the checkout URL is returned, whether an ID or expiry is provided). It also ignores parameter semantics. For a checkout preparation, this is incomplete for an agent to invoke 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 coverage is 0% and the description provides no parameter-level explanation. It only indirectly mentions user_confirmed_payment via 'explicitly agrees to pay', but does not clarify offer_slug, email, part_description, or optional parameters. With 11 parameters, this is a significant gap that the description fails to address.

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 clear action: after human confirmation, reserve the hunt and prepare a secure checkout URL. It also clarifies it does not charge or prove payment. This distinguishes it from sibling tools (capabilities, offers, status) which are all read-only queries.

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 explicitly conditions usage on the human agreeing to pay, which is a useful trigger. It does not list exclusions or alternatives, but no sibling tool performs checkout, so the context is sufficient. It does not mention when not to use it, but the precondition is clear.

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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