Medium Risk

send_feedback

Report data quality issues for a business. Use when you notice incorrect phone numbers, wrong addresses, outdated info, or closed businesses.

Part of the discava – Business Directory for AI server.

send_feedback can modify discava – Business Directory for AI data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use send_feedback to create or modify resources in discava – Business Directory for AI. 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 send_feedback repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach discava – Business Directory for AI.

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "send_feedback": {
      "limits": [
        {
          "counter": "send_feedback_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full discava – Business Directory for AI policy for all 6 tools.

Get this rule live on your own discava – Business Directory for AI server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access send_feedback gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so send_feedback only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the send_feedback tool do? +

Report data quality issues for a business. Use when you notice incorrect phone numbers, wrong addresses, outdated info, or closed businesses.. It is categorised as a Write tool in the discava – Business Directory for AI MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on send_feedback? +

Register the discava – Business Directory for AI MCP server in PolicyLayer and add a rule for send_feedback: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches discava – Business Directory for AI. Nothing to install.

What risk level is send_feedback? +

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

Can I rate-limit send_feedback? +

Yes. Add a rate_limit block to the send_feedback rule in your PolicyLayer 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 send_feedback completely? +

Set action: deny in the PolicyLayer policy for send_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 send_feedback? +

send_feedback is provided by the discava – Business Directory for AI MCP server (discava/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every discava – Business Directory for AI tool call.

Deterministic rules across all 6 discava – Business Directory for AI tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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