# Tool Response Suppressor (MCP)

> Use this tool when you need to verify the accuracy of tool outputs and prevent invented or distorted results. It solves problems of data integrity and trustworthiness by flagging mismatches, omissions, and invented fields in tool responses. The Tool Response Suppressor takes in claimed tool outputs and actual tool responses as inputs and returns verified data, making it ideal for use in applications where data reliability is crucial.

Canonical page: https://skillsregistry.net/skills/steveswain14-mcp-tool-response-suppressor  
JSON: https://api.skillsregistry.net/v1/skills/steveswain14-mcp-tool-response-suppressor

## Description

This MCP server verifies that an agent’s claimed tool output matches the actual response returned by a tool to prevent invented or distorted results. It flags mismatches, omissions, and invented fields to ensure downstream logic only processes verified tool data.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mcih9s4kjz)
- **Repository:** <https://github.com/steveswain14/mcp-tool-response-suppressor>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "steveswain14-mcp-tool-response-suppressor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/steveswain14-mcp-tool-response-suppressor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/steveswain14-mcp-tool-response-suppressor/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt