Low Risk

feedback_summary

Get summary of recent feedback

Part of the ThumbGate MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call feedback_summary to retrieve information from ThumbGate without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though feedback_summary only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

rlhf-loop-mcp-memory-gateway-v2.yaml
tools:
  feedback_summary:
    rules:
      - action: allow

See the full ThumbGate policy for all 29 tools.

Tool Name feedback_summary
Category Read
Risk Level Low

View all 29 tools →

Agents calling read-class tools like feedback_summary have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the feedback_summary tool do? +

Get summary of recent feedback. It is categorised as a Read tool in the ThumbGate MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on feedback_summary? +

Add a rule in your Intercept YAML policy under the tools section for feedback_summary. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the ThumbGate MCP server.

What risk level is feedback_summary? +

feedback_summary is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit feedback_summary? +

Yes. Add a rate_limit block to the feedback_summary rule in your Intercept policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block feedback_summary completely? +

Set action: deny in the Intercept policy for feedback_summary. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides feedback_summary? +

feedback_summary is provided by the ThumbGate MCP server (rlhf-loop/mcp-memory-gateway-v2). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on ThumbGate

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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