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Create Single-Task Agent

lyzr_agent_create_single_task

Create a single-task template agent by specifying provider, model, sampling parameters, and task instructions. Configure role and goal to address a specific use case.

Instructions

Create a single-task template agent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesAgent name
modelYesModel name, e.g. "gpt-4o"
top_pYesNucleus sampling probability
agent_goalNoThe agent's goal
agent_roleNoSystem/role prompt for the agent
descriptionNo
provider_idYesLLM provider id, e.g. "openai"
temperatureYesSampling temperature
extra_fieldsNoAdditional SingleTaskAgentConfig fields to merge into the body
llm_credential_idNoCredential id for the LLM provider
agent_instructionsNoTask instructions for the agent
Behavior2/5

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

Annotations already indicate a non-read-only create operation (readOnlyHint=false), and the description adds no extra behavioral context such as required credentials, side effects, or return value. The word 'template' hints at a behavioral distinction, but it is not elaborated, so the description adds little beyond the annotations.

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, front-loaded sentence with no filler or redundancy. It is concise, though extremely brief; the conciseness itself is good, but the terseness limits the value added.

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?

For a create tool with 11 parameters, 5 required fields, a nested object, and no output schema, a one-sentence description is inadequate. It fails to explain the return value, the meaning of 'template', or any prerequisites, so the agent cannot confidently understand the tool's full behavior.

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?

The input schema covers 91% of the parameters with meaningful descriptions, so the schema carries most of the parameter semantics. The description adds no parameter-specific meaning, but with high schema coverage, the baseline score of 3 is appropriate.

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 states the core action ('Create') and the resource ('a single-task template agent'), which is specific and distinguishes it somewhat from general agent creation. It uses 'template' to add nuance, but it does not explicitly contrast with the sibling lyzr_create_agent, so it falls just short of full differentiation.

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?

There is no guidance on when to use this tool versus alternatives. It does not mention that lyzr_create_agent might be more appropriate for general agents or that lyzr_agent_update_single_task is the corresponding update tool, leaving usage entirely to inference from names.

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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