# Find confusing or overlapping MCP tools

**Use case:** 

Identify MCP tools with overlapping routing signals before they cause unnecessary tool-choice ambiguity.

## Input

```json
{
  "tools": [
    {
      "name": "search_docs",
      "description": "Search company documentation for an answer."
    },
    {
      "name": "find_docs",
      "description": "Find company documents matching a query."
    },
    {
      "name": "web_search",
      "description": "Search the public web for current information."
    }
  ],
  "taskIntents": [
    "find internal documentation",
    "search current web information"
  ],
  "maxTools": 12,
  "minIntentScore": 0.2,
  "confusionThreshold": 0.55
}
```

## Output

```json
{
  "inputToolCount": {
    "label": "Input tools",
    "format": "integer"
  },
  "selectedToolCount": {
    "label": "Selected",
    "format": "integer"
  },
  "droppedToolCount": {
    "label": "Dropped",
    "format": "integer"
  },
  "coverageComplete": {
    "label": "Coverage complete",
    "format": "boolean"
  },
  "uncoveredIntents": {
    "label": "Uncovered intents",
    "format": "array"
  },
  "selectedTools": {
    "label": "Selected tools",
    "format": "array"
  },
  "selectedConfusedPairs": {
    "label": "Remaining confusion",
    "format": "array"
  },
  "recommendation": {
    "label": "Next step",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [MCP Toolset Pruner](https://apify.com/firstrate/mcp-toolset-pruner.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/firstrate/mcp-toolset-pruner.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/firstrate/mcp-toolset-pruner.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).