brainstorming

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

With no annotations provided, the description carries the full burden. It discloses that the tool relies on a generative model, requires specific environment configuration, and fails honestly without a key rather than producing template ideas. This is valuable behavioral context, though it does not describe output format or error details.

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 sentence that front-loads the core purpose, then adds the key prerequisite and failure behavior. Every clause earns its place, with no redundant or filler content.

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 six parameters, no annotations, and no output schema, the description covers purpose and prerequisites but omits what the returned ideas look like and does not explain how parameters influence output. The schema fills parameter details, but the absence of output schema means the description should say more about return value shape.

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 100%, so the schema already documents all six parameters. The description adds no additional meaning about topic, context, approach, ideaCount, constraints, or includeEvaluation beyond what the schema provides, so the baseline of 3 applies.

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 states a specific verb and resource: 'Generate creative ideas via a generative model.' It clearly conveys what the tool does and hints at a distinction from template-based approaches with 'no template ideas,' though it does not explicitly name sibling tools.

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 implies usage for creative idea generation and provides a prerequisite (CHAINING_LLM_ENABLED with OPENROUTER_API_KEY), but it does not explicitly state when to use this tool over alternatives like llm_query or suggest_skill_chain, nor does it mention when not to use it.

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