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NSFW Image Detector

NSFWImageDetector
Read-only

NSFW Image Detector: NSFW Image Detector scans uploaded photos to determine whether an image contains adult content. Send a JPG, PNG, or GIF file up to 10 MB to receive safe and adult content boolean flags. (Cost: 10 credits)

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": "NSFWImageDetector"
  }
}

Input Schema

NameRequiredDescriptionDefault
imageNoUpload an image file containing the image needing classification (supported formats: JPG, PNG, GIF)

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

The annotations already establish that this is a read-only, non-destructive operation, so the description does not need to repeat safety details. It adds useful behavioral context: the 10-credit cost, accepted formats, 10 MB size limit, and the fact that safe and adult boolean flags 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 content is front-loaded and reasonably short, but the phrase 'NSFW Image Detector: NSFW Image Detector' redundantly repeats the title. Apart from that duplication, the sentence is efficient and includes the important constraints.

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 one-parameter, read-only image classification tool with an output schema, the description supplies the key practical details: purpose, formats, size limit, cost, and return flags. It could be slightly stronger by clarifying the exact input mechanism and error behavior, but it is largely complete.

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

Parameters3/5

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

Schema description coverage is 100%, so the single image parameter is already documented by the schema. The description adds the 10 MB size cap, which is useful, but it does not clarify whether the image is supplied as a file upload, URL, or encoded payload beyond the schema's 'Upload an image file' wording.

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 uses a specific verb and resource: it scans uploaded photos to determine whether an image contains adult content. This clearly identifies the tool's function, though it does not explicitly distinguish it from possible siblings such as ContentFilter or FaceDetector.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The use case is strongly implied by the description, and the supported file types and size limit tell the agent what inputs are valid. However, it does not explicitly say when to use this tool versus alternatives or mention any exclusions.

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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