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Neuratel-AI

Neuratel MCP Server

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by Neuratel-AI

list_agent_templates

Discover pre-built agent templates for your voice AI platform. Browse ready-to-use configurations and start customizing faster.

Instructions

List the platform's pre-built agent templates.

Returns the read-only catalog of template configurations the platform ships — useful as starting points before customising via create_agent. Each template includes a name, description, and full agent config block you can deep-merge with your own overrides.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the burden and discloses that this is a read-only catalog, implying no side effects. It also describes the output components (name, description, full agent config block), offering solid transparency for a simple list operation.

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 concise with three sentences, each providing value: what it is, why it's useful, and what templates include. It is front-loaded with the purpose and contains no redundancy.

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?

For a zero-parameter read-only list tool with an output schema, the description covers the purpose, use case, and output content sufficiently. It need not explain return values in detail since the output schema exists.

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 zero parameters and an empty schema, so there is no parameter information to add. The description does mention deep-merging overrides, which adds context about the output but not parameters. Baseline for 0 params is 4.

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 lists pre-built agent templates, using the specific verb 'List' and resource. It distinguishes from sibling tools by framing these as starting points for customization via create_agent, which avoids confusion with list_agents.

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?

It explicitly says these templates are useful as starting points before customising via create_agent, providing a clear usage context. However, it does not explicitly mention alternatives or when-not-to-use, 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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