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Prove a custom agent task can complete before payment

quote_instant_work
Read-onlyIdempotent

Zero-cost deterministic computation of the actual buyer-submitted reconciliation or quality task. Returns output SHA-256 and readiness; never returns the paid full result or spends USDC. Example: {input:{task:'quality',required:['id'],records:[{id:'A'}]}}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesInstant-work JSON input. Example: {task:'quality',required:['id'],records:[{id:'A'}]}

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / input / description
      Added value: +"Instant-work JSON input. Example: {task:'quality',required:['id'],records:[{id:'A'}]}"
  2. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent and non-destructive, so the safety profile is partly covered. The description adds genuine behavioral context beyond that: it is zero-cost, deterministic, returns only an output SHA-256 plus readiness, and never returns the full result or spends USDC. That clarifies the exact side-effect boundary (a safe, no-charge dry run), which is valuable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with the core purpose and immediately followed by the return contract and side-effect guarantee. Every sentence carries information, though the trailing example duplicates the schema's own example.

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?

There is no output schema, so the description correctly explains return values (SHA-256 and readiness). Combined with annotations covering safety and the inline example for the nested input, an agent has almost everything needed to invoke it; only the internal shape of the free-form 'input' object beyond the example is left unspecified.

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 100% and there is only one parameter, so the baseline is 3. The description and schema both give the same inline example input shape, so the description adds no meaning beyond the structured field for how 'input' should be composed.

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 states a specific verb+resource (deterministic computation of a buyer-submitted reconciliation/quality task) and clarifies scope ('instant-work', zero-cost). It implicitly distinguishes from paid siblings by noting it 'never returns the paid full result or spends USDC,' so an agent can tell it is a preview/dry-run rather than the paid execution. The name 'quote_instant_work' is loosely bridged by the title and description, which is the only weak point.

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 title '...before payment' and the phrase 'never... spends USDC' imply this is the pre-payment validation step, giving an implied usage context. However, no sibling alternatives are named (e.g. paid_json_contract_check, paid_x402_payment_preflight) and there is no explicit when-to-use/when-not guidance, leaving the agent to infer positioning.

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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