brainstorm

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

With no annotations provided, the description carries full burden of behavioral disclosure. It describes the multi-round debate process, model participation, and synthesis behavior, but doesn't mention important traits like execution time, potential costs, error conditions, or what happens when models disagree. It provides basic behavioral context but lacks operational 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 perfectly front-loaded and concise - two sentences that efficiently convey the core functionality. Every sentence earns its place: the first explains the main operation, the second describes the process flow. No wasted words or redundant information.

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 complex tool with 5 parameters, no annotations, and no output schema, the description provides adequate but incomplete context. It explains the process flow well but doesn't describe the output format, error handling, or performance characteristics. The description is complete enough to understand what the tool does but not how it behaves operationally.

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 5 parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. The baseline score of 3 is appropriate when the schema does the heavy lifting for parameter documentation.

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 the tool's purpose with specific verbs ('run', 'debate', 'critique', 'refine', 'produce') and resources ('multi-round brainstorming debate', 'multiple AI models', 'final consolidated output'). It distinguishes from sibling tools (add_provider, list_providers) by focusing on execution rather than configuration.

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 provides clear context on when to use this tool ('Just provide a topic and all configured models will automatically participate'), but doesn't explicitly state when NOT to use it or mention alternatives. It implies usage for brainstorming scenarios but lacks explicit exclusions.

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