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

Annotations declare readOnlyHint=true and openWorldHint=false, and the description does not contradict them. It adds behavioral detail by specifying exactly what the card contains, including the customer's opening line, wants and fears, tells, objection phrasing, salesperson goal, strong answer, and feedback checklist, which helps the agent understand the expected return content.

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 single dense run-on sentence that front-loads the core purpose but packs many details into a long colon-chain. It contains no filler, yet it would be more readable and structured as a brief purpose statement followed by a bullet-style list of output fields.

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?

With no output schema, the description carries the burden of explaining what the tool returns, and it does so in detail by enumerating all card components. The closed enum sets and read-only annotation complete the picture well enough for an agent to invoke the tool, though instructions on how to use the card in a roleplay session are absent.

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?

Schema description coverage is 0%, so the description partially compensates by giving the ranges of customer types and objections, e.g. 'from the price shopper to the callback who went quiet.' However, it does not enumerate or define each enum value, so the agent still relies on the self-descriptive enum identifiers for full semantics.

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 identifies this as a practice card for a dealership sales roleplay, names the two inputs (customer type and objection), and enumerates the output contents (opening line, wants/fears, tells, objection wording, goal, strong answer, feedback checklist). This is specific and distinguishes it from sibling tools like call_scorecard or score_call.

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 purpose implies use in sales roleplay practice, but there is no explicit when-to-use or when-not-to-use guidance. It does not name alternatives or contrast with sibling tools such as rewrite_follow_up_text or score_call, leaving the selection context to be inferred.

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