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Aithon

order.draft

Draft an order from one of your confirmed quotes. The signer named on your mandate is asked to sign in. No checkout URL is returned.

Input Schema

NameRequiredDescriptionDefault
quote_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, but it does disclose two non-obvious behaviors: the mandate signer is prompted to sign in, and no checkout URL is returned. It omits whether the draft persists, whether the call is idempotent, and what the response contains, leaving meaningful gaps for a mutation-style tool.

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, each carrying distinct information: the action, the source constraint, the signing step, and the return-value caveat. Nothing is redundant and the key fact is front-loaded.

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 one-parameter tool with no annotations or output schema, the description covers the important surprises (sign-in prompt, absence of a checkout URL). It stops short of saying what a successful call returns, such as an order identifier, which an agent would still need to know.

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 coverage is 0% and the single quote_id parameter has no description beyond format uuid. The description partially compensates by indicating the quote must be confirmed, adding a semantic constraint the schema lacks, but it doesn't clarify whether it must be the caller's own quote or how to obtain the ID.

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 uses a specific verb and resource ('Draft an order') and constrains the source ('from one of your confirmed quotes'), which distinguishes it from quote.request and cart.draft.create. It doesn't name a sibling explicitly, so it falls short of the top score.

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 phrase 'confirmed quotes' implies a prerequisite state for the quote, giving implicit when-to-use guidance. There is no explicit statement about when not to use it or which sibling (e.g. cart.draft.create) to pick instead, so guidance remains inferential.

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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