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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: it does not say whether paths point to raw files, processed spectra, or identifiers; whether an API key is required (the default-empty api_key param hints at auth but is unexplained); or whether the operation is read-only. The output preview (correlation, distance, verdict) is the only real disclosure, and the output schema already covers return values.

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?

It is a single front-loaded line with no filler, but the brevity is under-specification rather than economy — the colon list substitutes for explanation of inputs and semantics.

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?

An output schema exists, so return values need not be described, but for a three-parameter tool with no annotations and 0% schema coverage the description is far too thin. Input format, auth expectations, and when to reach for this tool over its siblings are all 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 description coverage is 0% and there are three parameters, none of which the description mentions. It never explains what path_a and path_b accept (file paths? spectrum strings?) nor the role of api_key, so the agent gets no help beyond bare property names.

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 fragment names a specific verb (compare) and resource (two IR spectra) and previews the outputs (correlation, distance, verdict), so an agent knows this is an IR spectral comparison rather than a generic compare. It does not distinguish itself from near-name siblings like covnmr_compare or covauv_compare, but the 'IR spectra' qualifier is enough to disambiguate within the covair_* family.

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 statement of when to use this versus covair_identify, covair_verify, or covair_auto_analyze, and no prerequisites are given. The agent must infer the use case entirely from the name.

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