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

No annotations are provided, so the description must carry the full behavioral burden, but it only states the return purpose. It does not disclose whether the operation is read-only, whether authentication is required, how filters behave, or what the scores represent operationally.

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 single sentence is front-loaded and contains no filler, but it is under-specified rather than concise. For a tool with four undocumented parameters and no annotations, the extreme brevity leaves important invocation details unaddressed.

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?

Although an output schema exists, the description does not compensate for absent annotations, 0% parameter documentation, or the dense sibling landscape. It gives only a high-level purpose, so an agent would struggle to know how to filter, when to call it, or what the scores mean.

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% for four parameters, and the description does not mention or explain any of them. An agent receives no meaning for decision, risk_tier, workflow_id, or minimum_residual_score beyond their names in the schema.

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 resource ('capability-based residual risk scores for agentic workflows'), so the basic purpose is clear. However, it does not distinguish this tool from sibling risk-scoring tools such as recipes_agentic_aivss_risk_scoring_pack or recipes_mcp_risk_coverage_pack, leaving ambiguity about which risk register is appropriate.

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 explicit guidance on when to use this tool versus its many risk-related siblings. The phrase 'for agentic workflows' implies a context but gives no conditions, prerequisites, or alternatives to help an agent choose correctly.

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