get_body_composition

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

No annotations are supplied, so the description carries the full behavioral burden. It implies a safe read of a current snapshot, but says nothing about behavior when no measurements exist, recency/freshness of "latest", or any permissions needed. The presence of an output schema covers the return shape, which lowers the bar somewhat.

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?

A single short sentence with the key qualifier ("Latest") front-loaded and no wasted preamble. The trailing "and so on" is vague filler that weakens precision but costs little in length.

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 no-parameter read tool with an output schema already defining return values, the description covers what is needed to select and call it. The main omission is disambiguating it from get_body_metric_history and stating behavior when no data is available.

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 tool takes zero parameters, so there is no parameter semantics to explain; a baseline of 4 applies. The description adds nothing misleading about inputs and correctly implies no filtering arguments are needed.

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 resource (body metrics) and enumerates representative fields (weight, body fat, muscle mass, BIA values), so an agent knows what data comes back. The word "Latest" implicitly distinguishes it from the sibling get_body_metric_history, but it never names that sibling explicitly.

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?

Usage is only implied: "Latest" signals a current-snapshot read as opposed to the history tool, and the sibling list does contain get_body_metric_history. There is no explicit when-to-use, when-not-to-use, or named alternative, so the agent must infer the routing.

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