CURRENT SEA - Ambiguity Scan

Explainable ambiguity signals for text. Submitted text is processed but never retained.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
100%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~164Tokens (tool definitions)
~915 BTypical response size
Minimal attention impact (0.13% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "current-sea": {
      "url": "https://current-sea.fastapicloud.dev/mcp"
    }
  }
}

Remote endpoints

https://current-sea.fastapicloud.dev/mcpstreamable-http

What it can do

Tool inventory

Tools (1)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢scan_ambiguity(text)

Find wording that may need clarification. Use this when an agent needs an inexpensive, deterministic, explainable check for vague timing, quantities, references, commitments, or standards. The service retains invocation metadata but never the submitted text. Signals are possible issues, not proof of ambiguity.

Input Schema

{
  "type": "object",
  "properties": {
    "text": {
      "description": "Text to inspect; it is processed but not retained.",
      "maxLength": 10000,
      "minLength": 1,
      "title": "Text",
      "type": "string"
    }
  },
  "required": [
    "text"
  ],
  "title": "scan_ambiguityArguments"
}

Output Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "scan_ambiguityDictOutput"
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded1 tools
verifiedversion not recorded1 tools