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Ai Retake Detection

AI-Retake-Detection
Read-only

Run an AI Retake face detection task.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "request": "<request>"
    },
    "name": "AI-Retake-Detection"
  }
}

Input Schema

NameRequiredDescriptionDefault
pollingNoIf true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
requestYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2/5.0
Behavior2/5

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

Annotations already state readOnlyHint=true, openWorldHint=true, idempotentHint=false, and destructiveHint=false, while the description adds no behavioral context about async task execution, external URL access, polling, or what kind of detection result is produced. It does not contradict the annotations, but it adds almost nothing beyond them.

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

Conciseness2/5

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

It is a single short sentence with no filler, but the brevity reflects under-specification rather than efficient communication. There is no structure to explain the task, its inputs, or its behavior.

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

Completeness2/5

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

For an async detection task with a nested request object and a polling flag, this description is too thin. The output schema and annotations cover some return and safety details, but the definition never explains what Retake detection is or how an agent should use it correctly.

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

Parameters2/5

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

The schema already documents both top-level parameters and the nested src_file_url/src_file_id options, while the description says nothing about request shape or polling behavior. It therefore adds no meaning beyond the structured fields and does not compensate for the 50% schema description coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The sentence only restates the tool name and title: 'Run an AI Retake face detection task' supplies no definition of what Retake detection does or how it differs from siblings such as AI-Retake or AI-Face-Swap-Face-Detection. An agent must infer the purpose from the name alone.

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 guidance on when to choose this detection task instead of sibling tools, and no prerequisites, exclusions, or contextual cues. The only usage detail comes from the schema's polling field, not from the description.

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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