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validate_config

Validate a model configuration to check for errors before applying it to a llama.cpp server.

Instructions

Validate a model configuration without applying it

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
configYesConfiguration to validate
Behavior2/5

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

The description only mentions validation without applying, but fails to disclose whether it makes any changes, what it returns (e.g., success/failure, error details), or side effects. No annotations exist to mitigate this gap.

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?

A single, concise sentence with no extraneous words. However, it could be slightly expanded to include key behavioral details without losing efficiency.

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 (nested object parameter, no output schema, no annotations), the description is insufficient. It does not explain validation behavior, error handling, or return format, making it hard for an agent to use correctly.

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

Parameters2/5

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

The only parameter 'config' has a trivial description ('Configuration to validate') that adds no meaning beyond its name. Nested properties (name, ctx_size, etc.) lack individual descriptions, leaving the agent to guess their roles. Schema coverage is 100% but the description adds minimal value.

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 validates a model configuration without applying it, distinguishing it from siblings like update_model_config that modify configurations. However, it could explicitly differentiate more.

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 versus alternatives like get_model_config (to retrieve) or update_model_config (to apply). The agent is left to infer usage context.

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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