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

With no annotations, the description carries the full burden of behavioral disclosure, but it only says 'Return', which implies a read operation. It does not disclose what the annex contains, how the optional filters affect results, or any operational constraints, so an agent cannot anticipate behavior beyond generic retrieval.

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?

The description is a single front-loaded sentence with no filler; the verb and object appear immediately. It is economical, though it achieves conciseness by omitting material parameter and usage information.

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?

The 5-parameter schema has zero inline descriptions and no enums, so the one-line description leaves the request schema almost entirely unexplained. Although an output schema exists and return shape need not be described, the input side and selection criteria remain opaque, making the tool insufficiently invocable for a specific query.

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%, and the description does not mention any of the five parameters (status, control_id, scenario_id, buyer_view_id, impact_domain) or their roles. An agent has no semantic grounding for how to populate these optional filters.

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 states a specific verb ('Return') and a specific resource ('severe-risk annex for high-impact agentic AI runtime decisions'), so it is not a tautology and gives an agent a clear sense of what artifact is fetched. It does not explicitly distinguish this annex from the many risk-related sibling tools, but the resource name is specific enough to be useful.

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 'for high-impact agentic AI runtime decisions' implies a use context, which gives some guidance on when to invoke the tool. However, it does not explain when to choose this over alternatives like recipes_agentic_aivss_risk_scoring_pack or recipes_agentic_threat_radar, nor does it provide exclusions or when-not-to-use guidance.

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