Get one model
get_modelOne tracked model's full record by id (claude, fable, muse, gemini, qwen, grok) or exact name.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Model id or exact name |
get_modelOne tracked model's full record by id (claude, fable, muse, gemini, qwen, grok) or exact name.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Model id or exact name |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description adds that the registry is a 'tracked' closed set and names example identifiers, which is useful context. It does not say what happens when the id is not found or how the record is returned, so it adds only modest value over the annotations.
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 compact sentence with no filler, and the key constraint (one record, by id or exact name) is front-loaded. It is arguably under-specified rather than padded, which is the preferable failure mode.
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 one required parameter, full annotation coverage, and no output schema, most of the burden is light. Still, 'full record' is undefined -- the agent has no idea which fields come back -- and no lookup-failure behavior is described, leaving a real gap for a record-fetch 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?
Schema coverage is 100%, so the baseline is 3, but the description goes further by enumerating concrete example values (claude, fable, muse, gemini, qwen, grok) that the schema's generic 'Model id or exact name' does not provide. The listing appears illustrative rather than exhaustive, which slightly limits its precision.
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 resource and scope: a single tracked model's full record, retrieved by id or exact name. This implicitly separates it from list_models, though the sibling is never named. The phrasing is a noun fragment rather than a verb phrase, but the operation (fetch one) is unambiguous.
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?
Usage is implied -- use this when you already know a model's id or exact name, as opposed to list_models or recommend_models. However, the description never states that contrast or says what to do when the identifier is unknown or the model isn't tracked.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.