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justcaptions

justcaptions

by SpaceSheepBoy
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

list_styles

Read-onlyIdempotent

Retrieve 15 portable caption presets, supported overrides, aliases, and conservative safe areas to choose a TikTok/Reels style before rendering.

Instructions

Return 15 portable presets, supported overrides, aliases and conservative platform safe areas.

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_styles"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.4.0

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context — a fixed count of 15, 'portable', and 'conservative platform safe areas' — but says nothing about ordering, stability, or whether the set is platform-dependent.

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?

A single dense sentence with no filler or repetition. It is slightly overloaded (four distinct concepts packed into one clause), but everything stated is informative and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return-value explanation is unnecessary, and the zero-parameter surface keeps complexity low. However, for a discovery tool that agents will call to decide what to render, the absence of any usage/routing guidance leaves a real gap.

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 takes zero parameters, so per the rubric the baseline is 4. There is nothing for the description to disambiguate, and it correctly implies a no-argument call.

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?

States a specific verb ('Return') and enumerates what comes back: portable presets, supported overrides, aliases and platform safe areas. An agent can tell this is an enumeration/listing tool rather than a mutating one, though the domain term 'styles' itself is never defined and no sibling (e.g. preview_style) is contrasted.

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?

There is no when-to-use guidance at all. With siblings like preview_style, check_environment and list_fonts present, the description never says when to call list_styles versus those alternatives, nor any prerequisite.

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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