list_models

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

With no annotations, the description must disclose behavioral traits. It does reveal the HTTP method (GET /v1/models), implying a read-only network call, and 'currently exposes' indicates the data is dynamic. However, it does not mention failure modes, rate limits, authentication, or how the two model lists are merged, leaving some transparency gaps.

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 a single, well-structured sentence that front-loads the action and resource. Every word earns its place, providing the two key data sources without unnecessary verbosity.

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?

This is a simple zero-parameter list tool with an output schema present, so return values are already specified. The description adequately explains the two sources of models, making it complete for the tool's simplicity. No additional context about pagination or errors is strictly required here.

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, and the schema is empty. Per rubric, a zero-parameter tool receives a baseline of 4 since there are no parameter semantics to clarify. The description adds no parameter information, but none is needed.

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 lists Grok Console models targeted by the MCP plus models from the connected Grok2API gateway via GET /v1/models. This gives a specific resource and scope, but it does not explicitly differentiate from the sibling tool 'list_console_catalog', which may overlap in 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?

The description implies when to use the tool (when a list of models from the MCP-targeted console or gateway is needed), but it provides no explicit guidance on when to prefer this over alternatives like 'list_console_catalog'. There is no mention of exclusions or conditions, so the context is only implied.

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