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list_templates

Retrieve a list of available pipeline and indexing templates for building AI pipelines. Filter by pipeline type and limit results.

Instructions

Retrieves a list of all available pipeline and indexing templates. :param limit: Maximum number of templates to return (default: 100). :param pipeline_type: The type of pipeline to return.

:returns: List of pipeline templates or error message.

The output is automatically stored and can be referenced in other functions. Returns a formatted preview with an object ID (e.g., @obj_123). Use the object store tools in combination with the object ID to view nested properties of the object. Use the returned object ID to pass this result to other functions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
pipeline_typeNo
Behavior4/5

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

With no annotations, the description provides important behavioral context: output is automatically stored, returns an object ID for reference, and can be used with object store tools. It also mentions error message formatting. This goes beyond a basic description.

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 uses a clear docstring format with params and returns sections. It is efficient but repeats the concept of object ID multiple times. Could be slightly more concise.

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 simple list tool with 2 optional params and no output schema, the description covers return format, storage, and integration pattern. It lacks mention of pagination beyond limit and default behavior when no templates exist, but overall it is sufficient.

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

Parameters5/5

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

Schema description coverage is 0%, but the description fully documents both parameters: limit with default (100) and pipeline_type with its purpose. This adds significant meaning beyond the raw schema.

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 'retrieves' and the resource 'list of all available pipeline and indexing templates'. It distinguishes itself from siblings like get_template (single template) and search_templates (search).

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?

No explicit guidance on when to use this tool versus alternatives like search_templates or get_template. The description only implies its use for listing all templates without filtering or searching.

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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