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

No annotations are provided, so the description carries the burden of explaining behavior. It discloses that the tool returns a résumé in one of three formats, but it adds little beyond that and does not mention default behavior, side effects, access constraints, or output shape beyond the format enum.

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 immediately identifies the resource and then lists the three format options compactly. There is no filler, redundancy, or unnecessary background.

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 one-optional-parameter read tool, the description plus a fully covered input schema is sufficient for an agent to invoke it correctly. An explicit statement of the default format would be a minor addition, but the schema already provides the default and enum meanings.

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 100%; the enum descriptions already define the three formats. The description essentially restates those options in prose, adding no new semantics beyond tying them to Ryan Lindsey's résumé. The baseline of 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?

The description names the specific resource ('Ryan Lindsey's résumé') and the three concrete representations it can return, which is specific enough to distinguish it from sibling tools like get_case_study or get_contact. The verb 'get' plus the resource is clear and actionable.

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?

No explicit when-to-use guidance or alternatives are mentioned; the agent must infer from the resource name that this tool is for résumé requests. The description gives clear context that it returns Ryan Lindsey's résumé, but it does not state when to choose it over sibling 'get' tools.

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