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llama-mcp-server

llama-mcp-server

by ahays248
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

llama_props

Retrieve or modify server properties and default generation settings for local LLM inference.

Instructions

Get or set server properties and default generation settings

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": "llama_props"
  }
}

Input Schema

NameRequiredDescriptionDefault
default_generation_settingsNoGeneration settings to update. If omitted, returns current settings.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

B3.1/5.0
Behavior2/5

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

No annotations provided. The description indicates both read and write capabilities but does not disclose side effects of setting, persistence, or impact on other operations.

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 a single concise sentence that front-loads the key verbs 'Get or set'. It could benefit from a brief structure, but it is efficient for a simple tool.

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

Completeness3/5

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

With one parameter and no output schema, the description covers basic functionality. However, it does not elaborate on what 'server properties' include beyond generation settings, leaving some ambiguity.

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

Parameters4/5

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

Schema coverage is 100%. The parameter description explains that omitting it returns current settings, adding meaningful semantics beyond the schema type and properties.

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 clearly states the tool can get or set server properties and generation settings. It is distinct from siblings like llama_complete or llama_chat, which handle generation, not configuration.

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 explicit guidance on when to use this tool versus alternatives, nor when to get versus set. The usage is only implied by the description and parameter behavior.

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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