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buy_by_answer

Order the product recommended by an answer page, in one step, by passing the page slug instead of a product id. Returns a payment link for the human to approve.

Input Schema

NameRequiredDescriptionDefault
qtyNo
slugYes
buyerNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose the most important trait: it returns a payment link for a human to approve rather than charging directly. It does not say whether an order record is created immediately, what happens if the product is out of stock, or what permissions are required.

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 short sentences with no filler, and the one-step slug-based behavior plus the returned payment link are both front-loaded. Every clause carries information.

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?

Calling out the payment-link return value compensates well for the missing output schema, which is the biggest gap it could fill. However, with no annotations, an undocumented nested buyer object, and no stated interaction with stock or order creation, the definition is not complete for a purchasing action.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across three parameters, so the description must compensate. It explains only 'slug' (a page slug, not a product id); 'qty' and the nested 'buyer' object with email and country get no explanation at all, so the agent is guessing on the buyer identity shape.

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?

States a concrete verb and resource: 'Order the product recommended by an answer page', and adds the key scoping distinction that it takes a page slug 'instead of a product id', which separates it from the generic create_order sibling. It stops short of naming the sibling explicitly, but an agent can still tell the two apart.

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?

Usage is implied rather than stated: use this when you hold an answer-page slug rather than a product id. There is no explicit guidance on when not to use it, whether stock should be checked first (check_stock), or whether quote_order should precede it, leaving the agent to infer the workflow.

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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