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

With no annotations, the description carries the full burden. It discloses what data is included (vehicle details, address, next of kin) and what is excluded (identity). It also explains the downstream behavior (prefilled checkout page). It does not explicitly state that the tool is read-only, but the nature of 'get' and the phrasing imply it is non-mutating.

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 a dense two-sentence block that front-loads the core purpose. Every sentence adds value, from the list of fields to the workflow instruction to the identity exclusion. It is longer than the typical one-liner but appropriately sized given the need to convey both the return content and a usage sequence.

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?

For a tool with one parameter and no output schema, the description is quite complete. It tells the agent what the tool returns (a list of required data), how to use the result (call get_buy_link), and a boundary (identity is never collected). The lack of explicit output schema is mitigated by the enumeration of fields, at least for motor, which sets expectations for other product types.

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 schema has zero coverage for the product_type parameter, so the description must compensate. It provides an example for 'motor' with a full list of fields, indicating that requirements vary by product type. However, it does not explain what to expect for health, travel, or gadget, leaving the agent to infer that the structure is analogous. This is some compensation but not complete.

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 that the tool returns the data items collected by MIB's purchase forms, with a detailed example for motor. It distinguishes itself from siblings by focusing on 'purchase' rather than 'quote' and by explaining how it feeds into get_buy_link. However, it does not explicitly contrast itself with get_quote_requirements, so it misses full sibling differentiation.

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 explicitly tells the agent when to use the tool: collect all listed data in chat, then call get_buy_link with it. It also provides a clear exclusion: 'Identity (DOB/NIN) is never collected in chat.' This gives strong guidance on placement in the workflow and alternatives implicitly.

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