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List video templates

list_templates
Read-only

Retrieves all available video templates with names, descriptions, and poster images to help users choose a template for video creation.

Instructions

START HERE for any 'make a video about X' request. Returns every available template with id, name, what it looks like, and what it is best for — plus a poster image when one exists. AFTER calling this you MUST let the user pick: present the templates and ask them to choose (use your AskUserQuestion tool so the choice renders the same in the desktop app and the terminal). Do NOT pick a template silently on the user's behalf. Once they choose, call template_schema with that id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

The description adds behavioral context beyond the readOnlyHint and openWorldHint annotations, such as what fields the response contains (including poster image when exists) and the required follow-up action of user interaction. No contradictions with annotations.

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 (about 80 words), front-loaded with the main purpose, and structured with clear sections. Every sentence adds value: purpose, output details, and mandatory user interaction steps.

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?

Given no parameters, existing annotations, and no output schema, the description fully explains the tool's output and the required workflow after calling. It is complete for an agent to use effectively.

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 input schema has zero parameters, so the baseline is 4 per instructions. The description does not need to add parameter information since there are none.

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 explicitly states the tool's purpose as 'START HERE for any make a video about X request' and lists exactly what it returns (id, name, appearance, best use case, poster image). This clearly identifies the tool and distinguishes it from siblings like template_schema.

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?

The description provides explicit usage guidance: 'START HERE' for video requests, instructs the agent to present templates to the user and ask for a choice using AskUserQuestion tool, and warns against silent selection. It also indicates the next step (call template_schema with the chosen id).

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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