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

No annotations are provided, so the description carries the full burden. It discloses the analyses performed and the return object structure, which is helpful beyond the schema. However, it does not cover behavioral aspects such as whether the sequence is validated, error handling, or rate limits.

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?

The description is two concise sections: a bulleted list of analyses and a short return structure. It is front-loaded with the core purpose and avoids unnecessary detail, though the parameter mention is brief and the return list could be integrated more smoothly.

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 and the description lists the top-level return keys, which is sufficient. However, with no annotations and a missing api_key description, the tool lacks behavioral context (e.g., authentication requirements, input validation) that an agent might need to invoke it correctly.

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%, so the description must compensate. It adds meaning for 'sequence' by specifying it is an amino acid sequence and giving a typical length range (5-50 residues). The 'api_key' parameter is not mentioned in the description, leaving it undocumented, but it is likely a standard authentication parameter. The description partially compensates but misses one parameter.

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 states a specific verb ('Profile') and resource ('peptide sequence'), then enumerates the exact analyses performed (CPP score, AMP prediction, proteolytic stability, N-end rule half-life). This clearly distinguishes it from general protein tools like covabio_protein_profile.

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?

The specificity of 'peptide' and the listed analyses imply usage for short peptide sequences, but there is no explicit statement of when to use this tool versus alternatives like covabio_cleavage_sites or covabio_protein_profile, nor any listed exclusions.

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