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 a genuinely useful interpretive caveat ('not certification results') and defines the metric scope, but says nothing about the return structure, cost, or whether metrics are computed live — meaningful gaps for a metrics tool with no output schema.

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 the verb and measured dimensions, with the caveat placed at the end where it is most useful. The first sentence is dense with enumerated items but each item conveys scope, so little 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 single-parameter, read-only metric tool with annotations covering safety and a fully described schema, the description gives an adequate picture of what is measured and what the numbers mean. The remaining gap is return shape, which is expected since there is no output schema.

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 (work_item_id) is documented in the schema, so the schema carries the burden. The description never mentions the parameter or clarifies whether it accepts only work items of particular types; baseline 3 is appropriate.

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 ('Measure') and resource ('graph traceability completeness') and enumerates the three coverage dimensions measured (requirement V&V traceability, safety-goal coverage of system behavior, hazard-to-mitigation links). This clearly separates it from siblings like get_graph, run_graph_query, and get_refinement_report, though it never names an alternative explicitly.

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 agent can infer this is the metric/completeness tool, and the closing sentence says the metrics 'support safety-engineering review.' There is no guidance on when to prefer this over get_refinement_report, evaluate_work_item, or traverse_pspp_graph, and no stated prerequisites for the work item ID.

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