codebase_list_models
List available Codebase models, providers, and the current default model.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List available Codebase models, providers, and the current default model.
| 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?
No annotations are provided, so the description carries the full behavioral burden. 'List' strongly implies a non-mutating read, but the description does not explicitly state read-only behavior, authentication requirements, or whether results are static or account-scoped.
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 sentence, front-loaded with the verb and the most important resource. No filler or redundancy; every word earns its place.
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 zero-parameter read tool with no output schema, the description names the three categories of information returned, which is enough for an agent to understand the result surface. It could go slightly further by stating read-only nature and account scoping.
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, so there are no parameter semantics to convey and the baseline of 4 applies. Schema coverage is 100% and empty, making the description's enumeration of returned content the only useful semantics.
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?
States a specific verb (List) and enumerates the resources returned: Codebase models, providers, and the current default model. This is clearly distinct from sibling list tools such as list_projects, list_deploys, and list_files, though it does not explicitly name them.
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 guidance on when to call this tool, what precondition applies, or which alternative to prefer. Usage is only implied by the verb 'List'; nothing tells the agent whether this is for discovery before deploying, for confirming a default provider, etc.
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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