get-workload-enforcement-status

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does add some behavioral context (grouping behavior and mixed-state detection) beyond the tool name. However, it does not disclose the response format, whether the operation is read-only, pagination behavior, or what happens when no workloads match.

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?

Two sentences with the core purpose front-loaded and a useful second sentence about mixed enforcement states. No wasted words, though the structure could be slightly improved by explicitly noting the read-only nature.

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?

Given the tool has 2 optional parameters, 100% schema coverage, and no output schema, the description is adequate but minimal. It explains what the tool does but not what the response looks like, which could matter for an agent deciding whether this tool provides the needed detail versus a more granular tool like get-workloads.

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 100% (both parameters are described as optional filters), so the schema handles parameter documentation. The description adds marginal value by implying the filters map to grouping dimensions (application and environment), but it doesn't add syntax or format details beyond 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 clearly states a specific verb ('get'), a resource ('enforcement mode status'), and adds context about grouping by application/environment and identifying mixed states. This makes the purpose understandable, though it doesn't explicitly distinguish it from related tools like get-workloads or get-rulesets.

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 implies when to use this tool (to check enforcement status across workloads) and mentions optional filtering via parameters, but it provides no explicit guidance on when to use it versus a sibling tool, nor any exclusions or alternatives. The usage context is clear enough but not explicitly stated.

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