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

Annotations already declare readOnlyHint, destructiveHint=false and openWorldHint=false, so safety is covered structurally. The description adds one genuinely useful behavioral fact – results come from a real algorithm engine rather than being LLM-generated, implying authoritative/deterministic output. It does not say what checks run, whether issues are returned with severity levels, or what happens when no form_id is supplied.

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 with the tool's domain, then the user trigger, then the return value, with no filler sentences. The bracketed heading largely repeats the annotation title, which is the only wasted element.

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 read-only, one-optional-parameter tool this is roughly adequate, but with no output schema the description should indicate what '校验结果' looks like – a pass/fail verdict, a list of violated rules, or a report – so the agent knows how to present and follow up on results.

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% and the single parameter form_id is documented as '表单 id', so the baseline of 3 applies. The description adds nothing about the parameter and does not clarify the meaningful case of omitting it, given zero required parameters.

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 names a specific verb and resource – CRF data validation against SDTM/CDISC – and no sibling tool covers CRF or CDISC validation, so it is easy to place. It stops short of 5 because the scope of 'validation' (which rule set, which SDTM IG version, field-level vs. export-level checks) is left unspecified.

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?

It gives a concrete trigger condition: use when the user asks whether CRF data is compliant or can be exported to CDISC. There are no exclusions or named alternatives, but the sibling list contains nothing close enough to require routing guidance.

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