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qllm_route_task

Read-onlyIdempotent

Rank available LLM providers for any task without executing a model. Provide task summary and requirements to receive a ranked list with selected provider and model.

Instructions

Rank providers for a task without calling a model.

Args: params (RouteTaskInput): Prompt/task summary, task type, candidates, and secret requirement.

Returns: str: JSON or Markdown ranking with selected provider and model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. Description adds 'without calling a model' and return type, consistent with annotations. No contradiction.

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?

Description is concise with one sentence plus structured Args/Returns. No fluff, but could front-load purpose more efficiently.

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

Completeness4/5

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

Given complex input schema and presence of output schema, description adequately covers purpose, input high-level, and return type. Schema fills remaining details.

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 0% from description, but the schema itself provides full descriptions for all parameters. Description only gives a high-level summary, adding little beyond schema. Baseline 3 applies.

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 ranks providers for a task without calling a model, using specific verb and resource. It distinguishes from siblings like qllm_chat which actually calls a model.

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?

The description implies usage for ranking providers without making a call, but does not explicitly state when to use this versus alternatives like qllm_chat or qllm_list_models. No when-not or alternatives 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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