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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Return' weakly implies a read-like operation, but the description does not state whether the tool invokes other processes, creates artifacts, requires permissions, or has side effects. It also does not disclose failure modes or preconditions.

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 sentence with no filler, and the core noun phrase is front-loaded. It is concise and easy to parse. It could be considered slightly undersized, but conciseness itself is handled well.

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 five optional parameters, no annotations, and no input-schema descriptions, the definition is not complete enough for an agent to know what inputs matter or how to choose this pack over similar siblings. An output schema exists and presumably defines return values, but that does not resolve the missing input semantics or selection guidance.

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 compensate for any of the five parameters. Parameter names like 'decision', 'platform', 'risk_tier', and 'minimum_score' are left entirely undefined; the agent cannot know valid values or how they relate to 'provenance, permission, isolation, and supply-chain decisions.' This is a serious gap for invoking the tool correctly.

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 names a specific verb ('Return') and a concrete subject ('agent skill provenance, permission, isolation, and supply-chain decisions'), so an agent can broadly understand what the tool produces. However, it does not differentiate this from many sibling recipe packs that also appear to return governance or risk-related decisions, so it stops short of a 5.

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 description gives no explicit guidance on when to use this tool versus the dozens of sibling recipe packs, such as recipes_agent_capability_risk_register or recipes_agent_trust_fabric_pack. There is no mention of alternatives, exclusions, or selection conditions. The only implied usage is 'when you want supply-chain decisions,' which is too weak given the large sibling set.

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