List Models
get_modelsReturn a list of available models on this API Group: List Models. Billing per call: Credits: metered (~0.5 avg).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_modelsReturn a list of available models on this API Group: List Models. Billing per call: Credits: metered (~0.5 avg).
| 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?
With no annotations, the description carries the full behavioral burden. It does add real value by disclosing cost behavior ('Billing per call: Credits: metered (~0.5 avg)'), which the agent cannot get from the empty schema. However, it says nothing about authentication requirements, rate limits, or what the returned list contains, leaving gaps for a zero-annotation tool.
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 short sentences, front-loaded with the action, which is good. But the middle clause 'on this API Group: List Models' is redundant with the title and consumes space without adding meaning, so it is not fully tight.
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 no-param, no-annotation tool with no output schema, the description covers purpose and cost but omits what the response actually contains (e.g., model IDs/names) and any access prerequisites. Workable for a trivial GET, but not fully complete given nothing else documents the return.
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 the schema baseline is 4 and there are no parameter semantics the description needs to compensate for. Nothing in the description misrepresents or overrides the empty object schema.
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 clear verb and resource ('Return a list of available models'), which is trivially distinguishable from the sibling POST endpoints (audio/speech, chat/completions, embeddings, moderations). It never explicitly names or contrasts those siblings, but no confusion is plausible. The trailing fragment 'API Group: List Models' merely restates the name and title rather than adding scope.
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?
No when-to-use, when-not-to-use, or alternative guidance is given; the agent must infer that this enumerates model IDs before calling a completion endpoint. The only contextual statement is a billing note, which is not usage guidance. Adequate only because the operation itself is unambiguous.
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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