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

No annotations are supplied, so the description carries the burden, and 'Pure CPU, instant' usefully signals no network call and negligible latency. It does not disclose rounding/precision, behavior for out-of-range values below absolute zero, or what the response shape looks like beyond 'all three' — meaningful gaps for a conversion tool with zero annotation coverage.

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 short, front-loaded sentences with no filler. The core action is first and the performance note is a compact trailing qualifier.

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 two-parameter, no-output-schema utility, the description covers what it does and roughly what it returns (three values). Only the omission of the default unit and precision/rounding behavior keeps it from being fully sufficient.

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%, so the baseline is 3, and the description adds value by expanding 'C, F or K' into full scale names and making clear all three results come back regardless of input scale. It leaves the default unstated even though 'unit' is not a required parameter, which is the one real semantic hole.

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?

States a specific verb and resource — convert a temperature — and names the three scales handled, plus the distinguishing behavior of returning all three at once. It stops short of naming the sibling generic converters (unit_convert, convert_units) it should be preferred over, so an agent must infer the distinction.

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: the 'all three at once' phrasing hints this is a multi-output convenience wrapper rather than the generic unit_convert, but there is no explicit when-to-use, no exclusions, and no prerequisites. An agent can guess, but nothing steers it away from the broader converters in the sibling list.

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