validate_params_tool

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

With no annotations, the description carries the full burden, and it does disclose the key behavioral trait that nothing is generated (no side effects). It does not state what happens on failure, whether it raises errors or returns them, or any auth/rate constraints, so the disclosure is partial.

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?

A single tight sentence with the operative constraint front-loaded. Nothing is wasted, though the parenthetical could arguably be folded into a clearer statement of scope.

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?

An output schema exists, so return values need not be explained, but for a validation tool with two required parameters and a nested untyped object, the description omits what 'supported set' means, what the validation result looks like conceptually, and how it relates to the near-identical sibling preflight_check_tool.

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% for both parameters, and 'params' is a free-form nested object with additionalProperties=true whose keys are never enumerated. The description tells the agent the object holds generation parameters checked against a model, but adds no key names, formats, or valid value ranges, so it fails to compensate for the coverage gap.

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?

States a specific verb and resource: validating 'params' against a model's supported set, with a clarifying '(no generation)' to mark it as a non-generative operation. However, it does not differentiate itself from the sibling 'preflight_check_tool', which appears to cover very similar territory, leaving the agent to guess which of the two to call.

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 phrase 'pre-flight check' implies the tool is used before invoking a generation tool, and '(no generation)' signals it is a dry-run. But there is no explicit statement of when to prefer this over preflight_check_tool or how it fits into a generate workflow.

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