List Cim Data Models

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns 'structured information' and lists specific fields (name, description, use cases, required tags, deprecation status), which is useful behavioral context. It doesn't cover auth, errors, or other runtime aspects, but for a list operation this is 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?

Two concise sentences—one for purpose, one for usage guidance and return details. No wasted words; the description is front-loaded and to the point.

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 parameterless list tool with no output schema, the description is complete: it specifies the scope (26 models), the type of output (structured information), and the expected contents. It also gives a practical use case, ensuring the agent knows exactly when to invoke this tool.

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?

The tool has zero parameters, so the baseline is 4. There is no parameter documentation needed since the schema is empty. The description adds no parameter info, but none is required.

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 the tool 'List all available Splunk Common Information Model (CIM) data models' with a specific verb and resource. It also differentiates the scope by mentioning 'all 26' and details what information is returned, plus explicitly references the sibling tool 'get_cim_reference' to distinguish its purpose.

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 the tool: 'before calling get_cim_reference.' This is clear context for a specific use case. However, it doesn't discuss alternatives or when not to use it, so it falls just short of a 5.

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