silva_testprime

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the asynchronous execution model and that a web URL is returned for viewing results, which is meaningful context beyond the schema. However, it omits job lifetime/expiry, error behavior, permissions, and how results are later retrieved, so the behavioral picture is incomplete.

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?

Three tight sentences with no filler; the core action and the async/return behavior are front-loaded. Efficient and well-structured, though the final sentence could be marginally more informative.

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?

There is no output schema, so the description must cover return behavior – and it does, stating the job runs asynchronously and returns a web URL. For a 9-param submission tool this is nearly complete, with only result-retrieval mechanics left unspecified.

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 100%, so the schema already documents all 9 parameters including defaults, enums, and ranges. The description adds no parameter-level detail (e.g., mismatch semantics or database choice tradeoffs), so the baseline 3 applies.

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 and resource ('Submit a TestPrime job') plus the exact purpose (evaluate coverage and specificity of a primer pair against SILVA). It is clear what the tool does, though it does not explicitly distinguish itself from the sibling silva_testprobe (probe vs primer pair) – that differentiation is left to inference.

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 implies when to use it (evaluating a primer pair) and notes the async workflow and result URL, but gives no explicit when-not-to-use guidance or direct routing to silva_testprobe for probe-based evaluation. Usage is implied rather than stated.

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