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

The annotations already indicate readOnlyHint=true, and the description does not contradict that. It adds meaningful behavioral context by detailing exactly what the card contains: customer opening line, wants/fears, tells, objection phrasing, rep goal, strong answer characteristics, and feedback checklist. This goes beyond the structured annotations and helps the agent understand the tool's output shape.

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 front-loaded with the core purpose, but it is a long, dense single sentence with many embedded clauses and parentheticals. It contains useful information, yet it could be broken into clearer sentences or bullet-like structure. It is not bloated with filler, but it is less concise than it could be.

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 simple two-parameter card generator with a read-only annotation, the description covers the essential content of the card and the two selection dimensions. It does not describe the exact return format, but the enumerated contents give the agent a strong mental model. The lack of an output schema is partially mitigated by the detailed content list.

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 must compensate, and it does: it names both parameters and gives concrete examples for each ('from the price shopper to the callback who went quiet' and 'from "I need to think about it" to "just email me the numbers"'). It also communicates the cardinality of each enum. It does not define every enum value, but the enum keys are already fairly self-explanatory.

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 the tool as a practice card for sales roleplay and enumerates its contents, so an agent can tell it is a training/generation tool rather than a live-call tool. It lacks an explicit verb like 'generates' or 'returns', but the noun phrase 'A practice card' is unambiguous. It is distinguishable from siblings such as call_scorecard or write_follow_up_texts by its roleplay focus.

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 phrase 'practice card for a sales roleplay' implies when to use it, but there is no explicit guidance on when not to use it or which sibling tool to choose instead. An agent must infer that this is for training scenarios, not for live calls or follow-up writing. No alternatives or exclusions are named.

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