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LLMIntel Model Lifecycle

Search the model catalog

search_models
Read-only

List tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "search_models"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum results.
stateNoFilter by canonical lifecycle state, e.g. 'active' or 'deprecated'.
providerNoFilter by provider.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / provider / enum
      Previous value: -[
      -  "openai",
      -  "anthropic",
      -  "azure",
      -  "bedrock",
      -  "google",
      -  "cohere",
      -  "mistral"
      -]New value: +[
      +  "openai",
      +  "anthropic",
      +  "azure",
      +  "bedrock",
      +  "google",
      +  "vertex",
      +  "mistral",
      +  "cohere"
      +]
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already provide readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds one useful nuance — only tracked models are returned — but says nothing about result volume, pagination, or whether the catalog is a live provider query (relevant given openWorldHint).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, zero filler, with the core action front-loaded and the intended use trailing it. Nothing needs trimming or reordering.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only list tool with no output schema and full param documentation, the essentials are present. A note on pagination/limit behavior or result ordering would close the remaining gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and two parameters have enums, so the schema fully documents provider, state, and limit. The description restates the provider and lifecycle-state filters without adding format, defaulting, or interaction semantics; baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear verb and resource (list tracked models) plus the two available filter axes, which is more specific than the title alone. It does not distinguish itself from siblings like list_retiring_models or check_model, which a caller scanning the catalog would need.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Use this to discover what is currently available from a provider' gives a broad usage context, but there is no when-not guidance and no named alternative (e.g., list_retiring_models when only retiring models are of interest). Usage is implied rather than stated.

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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