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Prepare commission price estimate

prepare_commission_quote
Read-onlyIdempotent

Validate inputs for a benchmark-based art or illustration commission estimate covering deliverable, experience, complexity, finish, subjects, usage rights, revisions, rush timing, and expenses. Returns the paid x402 endpoint, current USDC price, dataset version, and exact request body without signing or spending funds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rushNonone
usageNopersonal
finishNopolished
subjectsNo
revisionsNo
complexityNostandard
experienceNoestablished
expenses_usdNo
commission_typeYesA quote_key returned by the free catalog endpoint.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already indicate read-only, idempotent, and non-destructive behavior. The description adds meaningful behavioral context by stating the tool does not sign or spend funds and returns only the endpoint, price, dataset version, and exact request body. No contradiction exists between the description and the annotations.

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 two sentences with no filler. The first sentence states the tool's purpose and inputs, and the second states the outputs and the key side-effect-free behavior. Every clause earns its place.

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 tool with 9 parameters, 11% schema coverage, and no output schema, the description provides a solid high-level contract but omits practical details such as when to use it versus x402_payment_quickstart, how commission_type maps to 'deliverable,' and how the returned request body should be consumed. It is adequate but not fully complete.

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 only 11%, so the description must compensate. It does name all the input dimensions—deliverable, experience, complexity, finish, subjects, usage rights, revisions, rush timing, and expenses—which helps map to the schema properties. However, it does not explain what the enum values mean, how these factors affect the estimate, or the meaning of commission_type beyond being a quote_key.

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 opens with a specific verb and resource: 'Validate inputs for a benchmark-based art or illustration commission estimate.' It clearly differentiates this tool from sibling tools by focusing on commission pricing, while siblings concern articles, company intelligence, or payment quickstarts. The return contract is also stated precisely.

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 the tool is for preparing an estimate before payment by noting it returns the paid x402 endpoint and does not sign or spend funds. However, it never explicitly states when to use this tool versus x402_payment_quickstart or another sibling, and it offers no exclusion conditions.

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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