Auto Map Controls

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly states the operation is mutating, runs as a background job, waits for completion, returns results, requires PRO tier, and only maps existing controls. This is strong transparency for a complex asynchronous write operation.

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 front-loaded with the core action and constraint, followed by concise behavioral details and then sibling differentiation. Every sentence contributes useful information with minimal jargon or redundancy.

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?

Despite the tool's complexity — async, mutating, tier-gated, with multiple sibling tools — the description covers what it does, how it behaves, its scope limitations, and its relationship to alternatives. The presence of an output schema means return-value detail is not required here. This is a complete and actionable description.

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 coverage is 75%, so the schema already documents model_id, control_id, and framework_id. The description adds context about 'existing controls' and 'never adds or excludes entities,' which indirectly clarifies scope, but it does not add meaningful per-parameter semantics beyond the schema, especially for server_version.

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 a specific verb and resource: 'LLM-map a model's existing controls to a framework's requirements.' It clearly distinguishes itself from siblings by naming map_control_to_requirement and auto_remediate_compliance and explaining how auto_map_controls differs from both.

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?

Explicit usage placement is provided: it 'sits between' the manual single-mapping tool and the full auto-remediation loop. It also states exactly what it does not do — it never adds or excludes entities — so an agent can decide when to prefer it over alternatives.

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