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

With no annotations, the description carries the full disclosure burden. It does disclose the computed metrics and the return keys, and the operation is implicitly a read-only computation, but it never mentions authentication needs despite an api_key parameter, nor how invalid or non-coding input is handled.

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?

Front-loaded purpose sentence followed by a compact parameter list and a returns line; little waste. The explicit 'Returns' block is slightly redundant given a declared output schema, but it is brief.

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 3-parameter analysis tool with an output schema present, the core is covered: input format, organism options, and metrics. Gaps remain around sibling differentiation (covabio_codon_adaptation) and the api_key parameter, which the agent would need to understand to invoke the tool successfully.

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, and it does for two of three parameters: it specifies the coding_sequence format (ATG...stop) and the organism enum values ('human' default, 'ecoli'). Only api_key is left unexplained.

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 (Evaluate) and resource (mRNA therapeutic sequence) and enumerates the exact metrics computed (CAI, GC, CpG, uridine, optimization score), so the agent knows what it produces. However, it does not distinguish itself from the closely related sibling covabio_codon_adaptation, which appears to overlap on codon adaptation scoring.

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?

No guidance on when to use this tool versus alternatives such as covabio_codon_adaptation or covabio_sequence_utils, and no prerequisites or exclusions stated. The agent must infer applicability from the metric list alone.

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