Api requirement assessments suggestions applied controls retrieve

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered by structured data. The description itself adds nothing: it does not say what is returned, whether suggestions are computed on the fly or stored, or what the single id refers to.

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?

It is a single opaque slug with no prose and nothing front-loaded. Brevity here reflects under-specification rather than economy — it conveys no information an agent could not read off the tool name.

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?

No output schema, no annotation-derived return detail, and the description is silent on both behavior and the lone parameter. For a nested-domain endpoint (requirement assessments → suggestions → applied controls) the definition is completely inadequate.

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?

There is one required parameter 'id' with 0% schema description coverage, so the schema gives no type semantics beyond string. The description does not clarify whether this id is the requirement assessment id, a suggestion id, or an applied control id — a distinction that matters given the sibling suggestions_applied_controls_create tool.

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 is the machine slug 'api_requirement_assessments_suggestions_applied_controls_retrieve', which merely restates the tool name rather than stating in prose what the tool does. An agent can guess it fetches suggested applied controls for a requirement assessment, but that inference comes from the identifier, not from any explanatory text, and no sibling (e.g. the paired suggestions_applied_controls_create) is distinguished.

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?

There is no guidance whatsoever about when to call this tool, when not to, or which sibling to prefer. With dozens of neighbouring requirement-assessments tools (retrieve, list, object_retrieve, suggestions_applied_controls_create) the agent has no basis for choosing.

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