collaborate

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes a multi-step process (generate, refine, execute) but doesn't specify what 'execute' means in practice, whether this involves external systems, what happens if refinement fails, or what the output format might be. For a tool with 3 parameters and no annotation coverage, this leaves significant behavioral questions unanswered.

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, efficient sentence that communicates the core workflow. It's appropriately sized for the tool's apparent complexity. However, it could be more front-loaded with the primary purpose before detailing the process, and the phrase 'final result' is somewhat redundant with 'execute'.

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 3 parameters, no annotations, no output schema, and sibling tools that suggest this is part of a code generation/execution system, the description is incomplete. It doesn't explain what type of code is generated/executed, what 'execute' entails (compilation? running?), or how results are returned. The description leaves too many contextual questions unanswered for effective tool selection and use.

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 67% (2 of 3 parameters have descriptions), so the baseline is 3. The description adds no additional parameter information beyond what's in the schema - it doesn't explain the relationship between 'prompt', 'architecture', and 'models' parameters or how they affect the collaboration workflow. The description mentions models working together but doesn't elaborate on the 'models' parameter beyond what the schema already states.

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 'Models work together: first generates, others refine, then execute final result' which provides a high-level workflow but lacks specificity about what resource is being acted upon. It mentions a multi-model collaboration process but doesn't clearly distinguish this from sibling tools like 'generate', 'execute', or 'consensus' that might involve similar concepts. The purpose is understandable but vague about the exact outcome.

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 no guidance on when to use this tool versus alternatives like 'generate', 'execute', or 'consensus'. It describes a workflow but doesn't specify appropriate contexts, prerequisites, or exclusions. There's no mention of when this collaborative approach is preferred over simpler single-model tools or other multi-model approaches available in the sibling list.

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