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 useful post-call context (each node carries grounding status and confidence), but says nothing about graph size, latency, or whether ungrounded nodes appear.

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 sentences, front-loaded with what is returned before the use case. Every clause carries content; the dense arrow chain is readable but slightly jargon-heavy.

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?

With no output schema, the description must carry return-value meaning, and it does describe the node types plus per-node grounding status and confidence. It is nearly complete for a read-only fetch; only graph breadth and edge cases (e.g. empty or partial lineage) are unaddressed.

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 repo_id and the required context parameter are fully documented in the schema. The description adds no constraint or format guidance beyond what is already structured, which is the expected baseline.

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 ("Return the repository's evidence-grounded discovery graph") and enumerates the node chain repository → evidence → test areas → test cases → automation scripts, which an agent can distinguish from a generic coverage report. It stops short of naming or contrasting with near siblings such as analyze_coverage or repo_coverage.

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?

"Use to audit test coverage lineage" gives one implied scenario but no explicit when-not conditions and no routing to alternatives like analyze_coverage, repo_coverage, or get_repository. The agent must infer selection criteria from the word "lineage."

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