List models
list_modelsModels that can be set per agent, with their rates and the typical points of a live call.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_modelsModels that can be set per agent, with their rates and the typical points of a live call.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds useful context that the response includes rates and 'typical points of a live call,' which partially compensates for the missing output schema, but it says nothing about scope, auth, or pagination.
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?
A single short clause with no redundant phrasing, and the most distinctive qualifier ('can be set per agent') is front-loaded. It loses a point for being a sentence fragment rather than a complete statement of the tool's action.
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?
With no output schema, the description does give an outline of the returned fields (models, rates, call points), which is the right instinct. However, phrases like 'typical points of a live call' are opaque, and no context is given about what a 'model' or 'agent' means in this domain, leaving the agent with an incomplete picture.
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 takes zero parameters, and the schema is closed (additionalProperties false), so there is no parameter semantics to document. Baseline for a no-parameter tool applies at the top of the range.
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 is a noun phrase rather than a stated action, so the 'list' operation is only carried by the name/title. It does add scope ('models that can be set per agent') and hints at return content, but an agent must infer the verb. Sibling differentiation is weak — nothing explains how it relates to list_autopilots or run_autopilot_agent.
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?
There is no statement of when to call this versus alternatives, and no preconditions or exclusions. Since it likely feeds configuration for agents, some routing guidance (e.g., 'use before update_autopilot to pick a model') would be valuable but is absent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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