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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It adds the '$0.01' cost detail, but does not mention that the result is an estimate, that it depends on an external data source, or any edge-case behavior. The word 'predict' implies no side effects, but that is not explicitly stated.

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, front-loaded sentence that communicates the purpose and cost with no filler. It is efficient and easy to scan.

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?

Given the low complexity (one simple required parameter) and the presence of an output schema, the description provides enough information for an agent to make the call correctly. It lacks usage context and behavioral caveats, but those gaps are less critical for such a straightforward 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%, and the description mostly restates the schema's 'name' parameter by saying 'based on their name.' It adds no extra meaning such as expected format, example values, or constraints, so it does little to compensate for the schema's lack of description.

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 states a clear action ('Predict') and resource ('the age of a person based on their name'), so an agent can tell what the tool does. However, it does not explicitly distinguish itself from the similar sibling tool get_agify_john, so it misses the sibling-differentiation part of a top score.

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?

There is no guidance about when to use this tool versus the many related get_* and fetch_* siblings, and no mention of exclusions or prerequisites. The description simply states the tool's function, leaving usage decisions to the agent.

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