cerebras_complex

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

No annotations provided, so the description must convey behavioral traits. It mentions the model size and intended use but does not disclose potential trade-offs like speed, cost, or limitations. Lacks detail on side effects or return behavior.

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 concise sentences that communicate the essential purpose and scope. Could be slightly more structured but appropriate for the length.

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?

No output schema, so description should clarify return values or side effects. It implies output is written to file_path but doesn't explicitly state. Lacks completeness for a tool with 5 parameters and no annotations.

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 parameters are documented. Description adds guidance for the prompt parameter but does not enhance understanding of other parameters beyond what the schema provides.

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?

Description clearly states it is for heavy-duty code generation using Cerebras gpt-oss-120b, with specific use cases like multi-file features, CRUD APIs, and complex components. However, it does not explicitly differentiate from siblings beyond implying heavier tasks.

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?

No explicit guidance on when to use this tool versus alternatives like cerebras_quick or cerebras_auto. The description implies it's for complex tasks but does not state when not to use it or provide any exclusion criteria.

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