submit_feedback

A other tool on the Adia Ai MCP server.

SERVERAdia Ai SOURCE@adia-ai/mcp

Low RISK CLASS

Category Other

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/adia-ai-mcp/submit-feedback.md

WHAT IT DOES

What submit_feedback does on Adia Ai

AI agents call submit_feedback as a supporting operation in Adia Ai workflows.

RISK

Why submit_feedback is rated Low

The name 'submit_feedback' suggests sending user feedback, which is a benign write-like operation at most. However, with no description available, the exact behavior is unknown. Given the context of an infrastructure management server, it's unlikely to be destructive or financial. Confidence is low due to the empty description, but the most plausible interpretation is a low-risk feedback submission action.

From the tool's definition Tool name is 'submit_feedback'; description is empty or uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs submit_feedback safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Adia Ai, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For submit_feedback, this is the rule to start with:

submit_feedback Rate-limited

submit_feedback gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "submit_feedback": {
      "limits": [
        {
          "counter": "submit_feedback_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Adia Ai, apply this rule, and every submit_feedback call is checked against it from then on.

FAQ

Questions about submit_feedback

What does the submit_feedback tool do? +

submit_feedback is a other tool on the Adia Ai MCP server. It is categorised as a Other tool in the Adia Ai MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on submit_feedback? +

Register the Adia Ai MCP server in PolicyLayer and add a rule for submit_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 Adia Ai. Nothing to install.

What risk level is submit_feedback? +

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

Can I rate-limit submit_feedback? +

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

Set action: deny in the PolicyLayer 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 Adia Ai MCP server (@adia-ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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