Medium Risk

feedback_vote

Cast or remove your vote on a feedback item (one vote per tenant). Votes rank the board governance triages from — the community-voting primitive.

Part of the Invinoveritas server.

feedback_vote can modify Invinoveritas 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 feedback_vote to create or modify resources in Invinoveritas. 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 feedback_vote 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 Invinoveritas.

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

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

See the full Invinoveritas policy for all 26 tools.

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These attack patterns abuse exactly the kind of access feedback_vote 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 feedback_vote 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 feedback_vote tool do? +

Cast or remove your vote on a feedback item (one vote per tenant). Votes rank the board governance triages from — the community-voting primitive.. It is categorised as a Write tool in the Invinoveritas MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on feedback_vote? +

Register the Invinoveritas MCP server in PolicyLayer and add a rule for feedback_vote: 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 Invinoveritas. Nothing to install.

What risk level is feedback_vote? +

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

Can I rate-limit feedback_vote? +

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

Set action: deny in the PolicyLayer policy for feedback_vote. 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_vote? +

feedback_vote is provided by the Invinoveritas MCP server (https://api.babyblueviper.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Invinoveritas tool call.

Deterministic rules across all 26 Invinoveritas 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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