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List presets

list_presets
Read-only

Tevyon's presets: one click and one photo of the user give a finished viral clip. Tevyon fixes model, format, length, sound and prompt; the user may add a short wish (wishHint shows what fits). A preset with line speaks the user's words in the clip: ask the user for them and pass them as wish. needs: photo (a person), product (or a dish) or place (a room). Each preset with the credits of one run. Start one with run_preset. available "paused": its model is paused for the moment.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_presets"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuinely useful behavioral context beyond that: each preset carries the credits of one run, presets declare their input needs (photo, product, or place), and some appear as 'paused' because their model is paused. It does not describe ordering, pagination, or how many presets are returned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening one-liner is front-loaded and effective, but the text is terse to the point of being fragmentary ('Tevyon fixes model, format, length, sound and prompt') and spends several sentences on preset execution details that belong to run_preset. A tighter version would state the listing behavior first and demote the execution guidance to a single pointer.

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, read-only catalog tool with no output schema, the description supplies most of what an agent needs: what a preset contains, what each entry costs, what inputs a preset requires, the paused edge case, and the natural next step. The absence of any note about the shape or size of the returned list is the only meaningful omission.

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?

This tool takes zero parameters, so the schema carries no semantic burden and the baseline is 4. The discussion of wish and wishHint relates to the downstream run_preset call rather than to any argument here, but it is useful context for the workflow an agent enters after listing.

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 names the resource (Tevyon's presets) and immediately frames what a preset is and does, which lets an agent infer this is the catalog-listing tool. It also explicitly separates itself from the sibling that acts on presets (run_preset). The gap is that it never states the retrieval verb outright ('lists available presets'), so the action is inferred from the name rather than the text.

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 clearly routes the agent: inspect presets here, then 'Start one with run_preset', and it says to ask the user for the words to pass as wish. It even covers the 'available paused' case. What is missing is an explicit statement of when this tool should be preferred over list_models or list_marketing_styles, and no exclusion guidance.

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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