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

No annotations are provided, so the description carries the full burden. It discloses the five evaluation axes, which is helpful context, but it does not explain whether the tool is read-only, what the output format is, or any side effects. For a scoring tool, the lack of return value details is a significant gap.

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, concise sentence that front-loads the main action and includes the five evaluation axes. Every part contributes to understanding the tool's purpose with no fluff.

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 tool has one parameter, no output schema, and no annotations. While the description names the evaluation criteria, it fails to explain the output structure, how scores are presented, or any prerequisites (e.g., whether a device must already be generated). Given these gaps, the description is not sufficient for an agent to fully understand the tool's behavior.

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?

The schema shows a single 'prompt' string parameter with no description, so schema coverage is 0%. The description implies that 'prompt' is the natural-language description from which the device is designed, adding some meaning beyond the schema. However, it does not explicitly specify the expected format or content of the prompt, leaving room for ambiguity.

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 function: scoring the generation quality of a device designed from words on five specified axes. It uses a specific verb (scores) and resource (generation quality of a device), distinguishing it from sibling tools like generate_device or compliance_check.

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 that the tool should be used to evaluate device generation quality, but it does not explicitly state when to use it versus alternatives, nor does it mention exclusions or when not to use. There is no reference to sibling tools like manufacturing_readiness or compliance_check.

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