Medium Risk

submit_feedback

Submit feedback about the Senzing MCP server. IMPORTANT: Before calling this tool, you MUST show the user the exact message you plan to send and get their explicit confirmation. Do not include any personally identifiable information (names, titles, emails, company names) unless the user explicitl...

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

senzing/entity-resolution Write Risk 2/5

AI agents use submit_feedback to create or modify resources in Senzing. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call submit_feedback repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Senzing.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

senzing-entity-resolution.yaml
tools:
  submit_feedback:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Senzing policy for all 13 tools.

Tool Name submit_feedback
Category Write
MCP Server Senzing MCP Server
Risk Level Medium

View all 13 tools →

Agents calling write-class tools like submit_feedback 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 Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the submit_feedback tool do? +

Submit feedback about the Senzing MCP server. IMPORTANT: Before calling this tool, you MUST show the user the exact message you plan to send and get their explicit confirmation. Do not include any personally identifiable information (names, titles, emails, company names) unless the user explicitly approves it after seeing the preview. Feedback is reviewed by the Senzing team. Feedback is not anonymous — submissions are logged and reviewed. It is categorised as a Write tool in the Senzing MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on submit_feedback? +

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

What risk level is submit_feedback? +

submit_feedback is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit submit_feedback? +

Yes. Add a rate_limit block to the submit_feedback 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 submit_feedback completely? +

Set action: deny in the Intercept policy for submit_feedback. 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 submit_feedback? +

submit_feedback is provided by the Senzing MCP server (senzing/entity-resolution). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Senzing

Open source. One binary. Zero dependencies.

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

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