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list_templates

Browse available agent templates organized by industry to quickly configure AI agents with pre-built stages, tools, and workflows.

Instructions

List all available agent templates for quick agent creation.

Returns templates organized by industry vertical (beauty, clinic, restaurant, fitness, etc.). Each template includes pre-configured stages, connections (graph flow), tools, and channel overrides.

Use create_from_template to create an agent from any template.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries full burden. It discloses return content (templates organized by industry vertical with pre-configured elements) but lacks details on format, pagination, or error handling. It adequately describes what the tool returns but misses behavioral specifics like rate limits or auth requirements.

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?

Three sentences with zero waste: first states purpose, second details return structure, third provides usage guidance. Each sentence adds distinct value, and the description is front-loaded with the core function.

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?

For a zero-parameter tool with no output schema, the description is mostly complete: it explains purpose, return content, and usage context. However, it lacks details on output format (e.g., JSON structure) and error cases, which would be helpful given the absence of an output schema.

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

Parameters4/5

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

The tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately focuses on output semantics, explaining what is returned without redundant parameter info, meeting the baseline for zero-param tools.

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 verb ('List') and resource ('all available agent templates'), specifies the purpose ('for quick agent creation'), and distinguishes from sibling 'create_from_template' by indicating this is for listing only, not creation.

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

Usage Guidelines5/5

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

Explicitly states when to use this tool ('List all available agent templates for quick agent creation') and when to use an alternative ('Use create_from_template to create an agent from any template'), providing clear guidance on tool selection.

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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