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Start a llama-server

start_server

Start a llama-server process for a GGUF model, ensuring the port is free and the server is healthy before proceeding.

Instructions

Spawn llama-server for a model (full arg validation, no shell), wait for its /health endpoint to report ready, and record the pid under bellows supervision. Refuses to start if the port is already in use.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ctxNoContext window in tokens.
nglNoGPU layers to offload (99 = all).
portNoHTTP port for llama-server.
modelYesModel to serve: an absolute path to a .gguf file, or a substring matched against the scanned models list (e.g. 'lfm2.5' or 'Q4_K_M').
readyTimeoutMsNoHow long to wait for the /health endpoint before giving up and killing the process.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pidYes
portYes
apiBaseYes
modelPathYes
startedAtYes
Behavior5/5

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

With no annotations, the description fully discloses behavior: full arg validation, no shell, health wait, pid recording, port conflict refusal.

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 sentences, front-loaded with action and key constraints, no excess words.

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

Completeness5/5

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

Given the output schema exists, the description sufficiently explains the tool's operation and constraints for a 5-parameter tool.

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% so definitions exist; description adds 'full arg validation' but no additional parameter meaning beyond schema.

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

Purpose5/5

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

The description uses the verb 'spawn' and specifies the resource 'llama-server for a model', clearly distinguishing it from sibling tools like stop_server and server_status.

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?

No explicit when-to-use or when-not-to-use guidance is given. The description implies usage for starting a model server but does not compare to alternatives like smoke_test.

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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