generate_use_cases

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

No annotations provided, so the description must fully disclose behavior. It only states it 'generates' and returns data, but does not mention side effects, synchronous/asynchronous nature, or permissions required. This is minimal for a tool that likely creates data.

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?

Two sentences, front-loaded with key information. Efficiently states action, inputs, and output utility. No unnecessary words.

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?

Given no output schema, the description explains the return type as normalized data with IDs, which is helpful. However, it does not mention whether the operation is synchronous or if errors are returned, and there is a sibling get_generation_status that suggests possible async behavior not addressed.

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 coverage is 100%, so baseline is 3. The description adds value by explaining the return data includes IDs that feed into generate_blueprint, linking the output to a downstream tool. However, it does not add specific parameter-level context beyond the schema.

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 generates AI use cases from the business profile and readiness assessment, and specifies the output can be passed to generate_blueprint. This distinguishes it from sibling tools like get_use_case or generate_blueprint.

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?

Implies usage requires an existing business profile and readiness assessment, but lacks explicit when-to-use or alternatives. Does not mention when not to use this tool, e.g., if use cases already exist.

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