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

The description adds the key behavioral trait of reporting mismatches, insertions, and deletions beyond what annotations provide (readOnlyHint, idempotentHint). However, it does not disclose the meaning of the ambiguous_low_coverage verdict or batch behavior. Annotations already indicate safety (read-only, idempotent), so the description provides moderate additional value.

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 a single sentence, front-loading the key functionality. Every word is impactful with no redundancy. It is well-structured for quick comprehension.

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?

While the description explains the main output, it lacks details on batch processing (mentioned in the read parameter description), the meaning of the PASS/ambiguous_low_coverage verdicts, and the interplay between read and fileBase64 parameters. Given the tool's complexity (5 parameters, batch mode), the description could be more comprehensive.

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?

The input schema already has 100% coverage with descriptions for all 5 parameters. The tool description adds no parameter-specific details beyond the schema. Therefore, it does not enhance parameter understanding beyond the baseline expected from the schema.

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 clearly states the action ('Align'), the input type ('Sanger ABIF read'), the reference, and the output ('report identity plus every mismatch, insertion and deletion'). This distinguishes it from sibling tools like parse_sanger_trace which only extracts data without alignment, and pairwise_alignment which is for general sequences.

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 description does not provide explicit guidance on when to use this tool versus alternatives such as pairwise_alignment or batch. It implicitly targets Sanger reads, but no explicit when-not or alternative recommendations. Thus, it lacks proactive usage guidance.

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