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

No annotations are supplied, so the description carries the full burden of behavioral disclosure, and it says nothing about whether identification queries a remote service, runs locally against library_dirs/index_path, costs credits, or requires api_key. For a 9-parameter identification tool spanning local indexes, external databases, and an SOTA scoring backend, this is a substantial disclosure gap.

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 tightly written sentence that front-loads the verb and the inputs with zero filler. It is efficient, though the brevity comes at the cost of coverage rather than being paired with additional useful detail.

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 with 0% schema coverage and no annotations the description leaves the substantial configuration surface (databases, index_path, library_dirs, api_key, scoring_backend, enable_sota) unexplained. An agent cannot confidently construct a valid non-trivial call from this definition alone.

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 the description only names the two required parameters (peaks, precursor_mz), which are already marked required in the schema. Seven optional parameters — adduct, api_key, databases, index_path, enable_sota, library_dirs, scoring_backend — receive no explanation of format, defaults, or trade-offs anywhere.

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 ('Identify') and resource ('unknown compound') plus the two signal types consumed ('MS/MS peaks and precursor m/z'), so the agent immediately understands the tool's function. However, it does nothing to separate itself from near-identical siblings such as covams_identify_batch, covams_analyze_unknown, or covams_search_db, leaving the agent to guess which entry point applies.

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 when-to-use guidance, no mention of prerequisites such as needing an API key or a local index, and no routing to alternatives like covams_identify_batch for multiple spectra. The agent must infer the calling context entirely from the required parameters.

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