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configure_inference_server

Idempotent

Create or replace a validated vLLM server declaration without starting it, enabling safe configuration updates for inference.

Instructions

Create or replace one validated vLLM server declaration without starting it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYesmanaged requires workload; existing_local must use loopback.
nameYes
modelYes
base_urlNoLoopback-only OpenAI-compatible server URL.http://127.0.0.1:8000
providerNovllm
workloadNoDeclared workload that starts vLLM; required for managed mode.
operationYes
tokenizerNo
quantizationNo
model_revisionNo
benchmark_pythonNoAbsolute SGLang Python launcher; required only for sglang.
tokenizer_revisionNo
expected_configuration_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already indicate it is a write operation (readOnlyHint=false), idempotent (idempotentHint=true), and non-destructive (destructiveHint=false). The description adds behavioral nuance by explaining the tool 'validates' the declaration and, crucially, does not start the server—information beyond what annotations alone convey.

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?

The description is a single, dense sentence with no fluff. It front-loads the core action and immediately conveys the key constraint ('without starting it'), making it highly concise and well-structured.

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?

While an output schema exists and annotations cover basic safety, the description is too terse for a tool with 13 parameters and low schema coverage. It does not explain the create/replace distinction, mode dependencies, or what 'validated' entails, leaving gaps for complex usage.

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 description provides no parameter information. With schema description coverage at only 31%, the burden falls on the tool description to explain key parameters, but it remains silent. The few schema descriptions (e.g., mode, workload) exist but are insufficient for a 13-parameter tool.

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 clearly states the tool's function: 'Create or replace one validated vLLM server declaration without starting it.' It uses specific verbs (create/replace), names the resource (vLLM server declaration), and includes the key constraint 'without starting it', distinguishing it from execution tools like run_inference_scenario.

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

Usage Guidelines4/5

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

The phrase 'without starting it' provides clear context that this tool is for declarative configuration, not execution. However, it does not explicitly name alternatives or state when not to use this tool, so it falls short of a full 5.

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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