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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the bar is lower, yet the description adds a genuinely useful clarification: 'It returns docs only and never takes a photo: your app sends photos straight to the Body Scan API.' That prevents the plausible misreading that this tool performs a scan. It does not describe output format or how the language selection changes the result, which keeps it below a 5.

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?

Two tight sentences: the first front-loads the content inventory, the second preempts the main confusion. No filler, no restating the title verbatim beyond the necessary subject.

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 read-only documentation tool with one optional enum parameter and no output schema, the description covers purpose, contents, and the key misconception. A brief note that the response is markdown/text keyed to the chosen language would close the remaining gap, but nothing essential to invoking it correctly 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?

Schema coverage is 100% and the single enum parameter is fully documented with its default, so the schema carries the parameter burden. The phrase 'ready-to-paste code' hints that the language parameter controls which snippet is returned, adding marginal meaning. This matches the baseline-3 case for high schema coverage.

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 a specific resource and scope: 'How to add the WorkoutX Body Scan API to an app: endpoint, auth, fields, response shape, errors and ready-to-paste code.' An agent can tell this is a bundled integration guide, but the description does not name the close siblings (get_endpoint_reference, get_code_example, get_body_scan_sample_response) that overlap with it.

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?

Use is implied by the enumerated contents (endpoint, auth, fields, errors, code), so an agent can infer this is the one-stop guide. However, there is no explicit statement of when to prefer this over the granular sibling tools, and no exclusions, so the routing decision is left to inference.

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