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

The description discloses the core behavior: it returns policy content and implies a read-only, side-effect-free call. With no annotations, it does not say whether the policy is the current version, whether access requires approval, or what the response format looks like, leaving a modest behavioral transparency gap.

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?

One sentence containing only the essential action and target content. No filler, redundancy, or buried information; the verb is front-loaded.

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 zero-parameter read-only policy lookup, the description is largely complete: an agent knows the resource to return and that invocation is trivial. It would be slightly more complete if it named sibling policy tools as alternatives, but nothing critical is missing.

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 are no parameters and the schema already fully documents that. The description does not need to add parameter-level detail, so the zero-parameter baseline of 4 applies.

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 uses an explicit verb ('Return') and a specific resource ('Bursia bounded-autonomy and human-supervision policy'), so an agent knows this tool returns that particular policy. It does not explicitly compare itself to sibling tools such as outbound_gateway_policy, but the policy name is specific enough to make the distinction inferable.

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?

No guidance is given about when to use this tool versus a sibling tool such as outbound_gateway_policy or human_bridge_request. Intended triggers, prerequisites, and exclusions are left entirely to inference.

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