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

There are no annotations, so the description must carry the behavioral disclosure burden. It communicates the input and makes the generation intent clear, but it does not say whether the code is returned directly, whether it is executed, or what exact output format is expected. The pay-per-use pricing is useful operational context.

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 short, front-loaded with the core purpose, and avoids rambling. The pricing and target-user clauses are additional but compact. It is efficient though not as tightly minimal as it could be if pricing were considered pure metadata.

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?

For a single-parameter tool, the description and schema together cover what is required to invoke it correctly. It specifies the intended input, the target audience, and the cost. The output format is not explicitly described, but the phrase 'generate code' strongly implies the result, so nothing necessary is missing.

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 already documents the only parameter 'input' at 100% coverage, including a Spanish description of what the code should do. The description's 'input=what it should do' restates this meaning without adding examples, syntax, or additional semantic detail. Baseline 3 is appropriate.

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?

Uses a specific verb and resource: 'Generate code from a description.' This clearly differentiates it from siblings like code-review and text-to-sql, and the input explanation reinforces what the tool does.

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?

Provides practical context by saying it is 'for agents/devs' and defines the input as 'what it should do.' However, it does not explicitly state when to choose this tool over the many code-related sibling tools, nor does it list any exclusions.

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