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

No annotations provided, so description carries burden. It discloses return format { instructions, context, request, protocol } and that the model is expected to write YAML. Does not mention side effects or permissions, but tool is read-only and non-destructive. Could be improved by noting that it doesn't modify any state, but adequate.

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?

Three sentences with high information density. First sentence states purpose and intended behavior, second gives return structure, third gives workflow. No filler or redundant text.

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 no output schema, the description lists return fields. No annotations, but behavior is clear. However, it could detail the nature of 'instructions' and 'context' or clarify error handling. Still fairly complete for the tool's role.

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%, but description only implicitly refers to 'request' as a natural-language input. Does not explain 'limit' or 'organization_uuid' parameters. Schema has 3 parameters and description adds no meaning beyond the schema for 2 of them.

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?

Clearly states the tool retrieves config-authoring instructions and examples for a natural-language request, with explicit mention that the calling model writes YAML instead of server generation. Distinguishes from sibling generate_config by pointing out this tool is for when the model can author YAML.

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?

Explicitly tells when to use this over generate_config ('Prefer this over generate_config whenever you can author YAML yourself'). Also provides a post-use workflow: validate with validate_config then persist with create_config. No exclusions needed.

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