generate

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 does not mention potential side effects, permissions, rate limits, timeout behavior, error handling, or the structure of the response. The timeout_sec parameter is documented but not explained in terms of what happens when it expires.

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 front-loaded with a single, clear purpose sentence followed by a structured Args list. Every sentence provides necessary information without redundancy, making it easy to scan and understand quickly.

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?

The description covers the core function and all parameters, but omits return value format, error cases, and execution constraints such as token limits or streaming behavior. Given the lack of annotations and output schema, this is a noticeable gap, though the tool is simple enough that the description is minimally viable.

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 0%, so the description compensates fully. Each parameter is explained with meaningful context: host examples, model source from list_models, prompt intent, and a clear definition of timeout_sec. This adds real value beyond the bare 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 the tool sends a prompt to a specific model on a specific fleet host and returns the response. The verb 'send' and resource 'model on a fleet host' are specific, and it distinguishes itself from siblings like list_models and smart_generate by emphasizing 'specific' in both host and model.

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 by referencing 'model name as reported by list_models', suggesting a prerequisite call to list_models. However, it does not explicitly state when to choose this tool over smart_generate or other alternatives, nor does it 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.