ddg_quote_payment

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

No annotations are provided, so the description must disclose behavior. It notes the tool does not execute backend compute, which is a key behavioral trait. However, it lacks disclosure on side effects, authentication requirements, or error conditions (e.g., unsupported path).

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

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

A single sentence that is front-loaded with the primary action and outcome. Every word serves a purpose, with no extraneous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is minimal for a tool related to payment challenges in a complex system. Despite having an output schema, the description does not indicate what the returned challenge looks like or how it should be used. More details about supported routes or prerequisites would improve completeness.

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

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

With 0% schema description coverage and two parameters (path, agent_id), the description offers no explanation of their meaning or purpose. This leaves the agent without guidance on how to set these parameters, especially since path has a default and agent_id is nullable.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it returns a payment challenge for a DDG protected route without executing backend compute. The verb 'Return' and specific resource 'payment challenge' are well-defined, but it does not differentiate from sibling tools like ddg_run_paid_model or ddg_submit_order.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies it is a pre-payment step by saying 'without executing backend compute,' but it provides no explicit guidance on when to use this tool versus alternatives like ddg_run_paid_model or ddg_submit_order. No exclusions or context are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.