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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds genuine value beyond that by asserting results come from a real algorithm engine rather than being LLM-generated, which tells the agent the output is deterministic and citable.

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?

Two short clauses: purpose and return value, both front-loaded with no filler. The bracketed title is slightly redundant with the tool title annotation, and the not-LLM-generated note could be folded more cleanly, but nothing is wasted.

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 tool with one required field and no output schema, the description does state the return shape (enriched pathways) and the analytical basis. It omits practical prerequisites such as whether species must be supplied for organism-specific annotation and which GO sub-ontologies are reported, leaving moderate gaps.

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 all three parameters are already documented in the schema and the baseline is 3. The description echoes the protein-list input and the GO/KEGG dimension but says nothing about the species parameter or allowed enrichment_type values beyond GO/KEGG (Reactome is only in 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 names a specific verb and resource ("蛋白富集分析" for a batch of proteins against GO/KEGG) and states the output is enriched pathways. An agent can tell this is a pathway-overrepresentation tool rather than a generic stats or omics tool, though it never explicitly contrasts itself with siblings like act_enrich or act_metabo_enrichment.

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 phrase "用户有一批蛋白要做 GO/KEGG 富集" implies the triggering situation (you hold a protein list and want pathway enrichment), which is adequate minimum guidance. However, there is no explicit when-not or alternative routing among the many enrichment/analysis siblings, so selection still requires inference.

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