list_pending_policy_acknowledgments

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. 'Get' implies a read-only operation and 'unacknowledged policy assignments' hints at the scope of returned data, but there is no mention of permissions, pagination beyond the limit param, or what an acknowledgment state means.

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?

Very tight, with an Args/Returns structure that front-loads the core purpose. No wasted text, though the Returns line is largely redundant given an output schema exists.

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?

An output schema exists, so return values need not be explained, and the tool is a simple single-parameter list. The main gap is the absence of usage guidance and sibling differentiation relative to list_policies.

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% (the single 'limit' parameter has only a type, title, and default). The description compensates with 'limit: Max results', conveying the parameter's meaning that the schema fails to document. Minimal but adequate for one obvious parameter.

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?

States a specific verb and resource: 'Get policies pending user acknowledgment.' An agent understands this returns policy assignments awaiting acknowledgment, which implicitly differs from the generic list_policies sibling. However, it never names or contrasts that sibling, so the differentiation is left to inference.

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 when-to-use context, no prerequisites, and no mention of the closely related list_policies tool. An agent must guess whether this is the right entry point versus listing all policies.

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