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

With no annotations, the description carries the full burden. It discloses that the tool generates a snippet, requires a PRIVATE_KEY for payment/execution, and is free to generate. It does not describe any destructive side effects, but the generation itself is likely safe.

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 two sentences, front-loaded with the core purpose, and includes necessary context (pre-filled, PRIVATE_KEY, free) without waste.

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 are not required in the description. However, the description fails to document parameters, leaving a gap in usability. The tool's complexity is moderate, but missing parameter semantics reduces completeness.

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 input schema has 3 parameters with 0% description coverage. The description does not explain what 'code', 'service', or 'language' represent beyond implying that 'code' is the user's pre-filled code. This is insufficient for proper use.

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 action ('Generate a ready-to-run Python snippet') and resource ('to call a Zugabot paid service'). It distinguishes from siblings by focusing on code snippet generation rather than listing, previewing, or trialing services.

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 when one needs to call a paid service programmatically, but it does not explicitly state when to avoid this tool or mention alternatives among siblings like 'preview' or 'run_trial'.

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