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Bowieboii

CURRENT•SEA

README.md
# CURRENT•SEA

**Explainable ambiguity signals for text, available over MCP and REST.**

CURRENT•SEA is a small, deterministic service that helps AI agents and software
detect wording that may need clarification before acting on it.

It is publicly available as an MCP server:

- **MCP Registry:** `io.github.Bowieboii/current-sea`
- **Current Registry version:** `0.0.3`
- **Remote MCP endpoint:** `https://current-sea.fastapicloud.dev/mcp`
- **MCP tool:** `scan_ambiguity`

Submitted text is processed but **not retained**.

## Connect from an MCP client

For MCP clients that accept an `mcpServers` configuration, add:

```json
{
  "mcpServers": {
    "current-sea": {
      "type": "streamable-http",
      "url": "https://current-sea.fastapicloud.dev/mcp"
    }
  }
}
```

This configuration was verified with the official MCP Inspector.

## What it detects

CURRENT•SEA currently looks for several common forms of ambiguous wording,
including:

- vague timing — `soon`, `later`, `eventually`
- vague quantities — `some`, `few`, `many`
- uncertain commitments
- potentially unresolved references — `it`, `them`, `that`
- subjective standards — `reasonable`, `effective`, `good`, `best`

Each signal includes:

- the phrase that triggered it
- its location in the text
- the ambiguity category
- an explanation
- a suggested clarification question

## Example

Input:

```text
Please send it to them soon, include a few examples, and make sure it is good.

TDQS

A4.3/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap. The single tool's purpose is clearly defined and distinct by default.

Naming Consistency5/5

The single tool name 'scan_ambiguity' follows a clear verb_noun convention, which is consistent and predictable. No conflicting naming styles exist.

Tool Count2/5

A single tool feels too thin for most server purposes. While the scope is narrow, one tool provides minimal utility and may limit agent flexibility, aligning with the 'too few' criterion.

Completeness5/5

For the stated purpose of detecting ambiguous wording, the tool covers the core functionality well. It handles multiple ambiguity types (timing, quantities, references, commitments, standards) with no obvious gaps within that narrow domain.

Maintenance

ActivityMaintained
ResponsivenessNo issues