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llama-mcp-server

llama-mcp-server

by ahays248
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

llama_load_model

Specify a model name or path to load it for the router in llama-mcp-server, activating it for inference.

Instructions

Load a model (router mode only)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "model": "<model>"
    },
    "name": "llama_load_model"
  }
}

Input Schema

NameRequiredDescriptionDefault
modelYesModel name or path to load

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

C2.9/5.0
Behavior2/5

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

Without annotations, the description is expected to disclose behavioral traits, but it only states 'Load a model' without details on side effects, idempotency, or what happens after loading (e.g., whether it replaces an existing model). The minimal description fails to provide adequate transparency.

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

Conciseness4/5

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

The description is very concise with a single sentence that front-loads the key action. However, the brevity sacrifices completeness, but for conciseness alone it is well-structured.

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

Completeness2/5

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

Given the complexity of model management in a router context and the presence of many sibling tools, the description lacks essential context about how 'load' relates to other operations (e.g., start, unload) and what 'router mode' means. It does not explain return values or effects.

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 coverage is 100% for the single parameter 'model', which already describes 'Model name or path to load'. The tool description adds no extra meaning beyond the schema, so a baseline score of 3 is appropriate.

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?

The description 'Load a model (router mode only)' clearly states the action (load) and the resource (model), and the 'router mode only' qualifier distinguishes it from potentially other model-related operations. However, it lacks elaboration on what 'load' entails in this context.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool over alternatives like llama_start or llama_unload_model. The '(router mode only)' hint is present but not explained, and no exclusions or prerequisites are mentioned.

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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