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

The description indicates the tool performs a funding action, and annotations clarify idempotency and non-destructiveness. It does not explain side effects like balance deduction or failure modes, but this is acceptable given the simple write operation.

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?

The description is concise, using three short sentences to convey purpose, pricing, and execution. No unnecessary detail or redundancy.

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 connects the tool to related actions (data_preview, data_session_query) and provides the business context (listing, price, execution model). It lacks an explicit output description, but the output schema is not provided and may not be critical for a funding action.

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?

The sole parameter session_id is fully described in the schema, including its purpose and origin (from data_session_open). The description also ties it to the querying workflow, making the parameter's role clear.

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 explicitly states the tool's purpose: buying per-query access to data listings, with a specific listing, price, and mechanism (platform-executes funding to enable querying). No ambiguity.

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?

It advises using data_preview for a free trial and references data_session_query as the follow-up, providing implicit guidance on when to use this tool. However, it does not explicitly contrast with alternatives like data_session_attach_escrow.

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