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

The readOnlyHint/idempotentHint/openWorldHint annotations already establish the safety and side-effect profile, so the description's room to add value is narrower. It adds the traversal vocabulary and a worked example, but says nothing about result volume, the meaning of limit, or what an empty/unknown relation returns.

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?

Very compact and front-loaded: the core action comes first, then the relation inventory, then a concrete call example. The semicolon-chained relation list is dense but scannable; the trailing bare URI is the only piece that reads as unexplained noise.

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?

An output schema and full annotations are present, so return shape and safety need not be restated. Against that, four of six parameters are undocumented in both schema and description, and the guidance for species/assembly (only relevant to some entity types) is absent, which is a real gap for a 17-entity graph tool.

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 well for `relation` by enumerating the valid relation names per entity type — meaningful given `relation` is an unconstrained string. However, `id`, `limit`, `species`, and `assembly` receive no explanation at all beyond the single article-ID example, leaving half the surface undocumented.

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 ("Traverse an evidence relationship") and immediately enumerates which relations are valid for which entity, so an agent knows exactly what class of operation this is. It does not explicitly distinguish itself from siblings like get, search, or literature_search, which keeps it below a 5.

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?

Usage is only implied: the relation table tells you what you *can* request, so an agent can infer this is the tool for expanding from a known ID to linked evidence. There is no statement of when to prefer this over get/search/resolve, and no exclusions or prerequisites beyond a pointer to "biomedmcp://guide".

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