retry · Pronunciation & Voice Coach MCP: Risk & Policy

WHAT IT DOES

What retry does on Pronunciation & Voice Coach

AI agents call retry as a supporting operation in Pronunciation & Voice Coach workflows.

WHY IT NEEDS A POLICY

Why retry needs a policy

With no description available, the tool name 'retry' in the context of a voice coaching server most likely re-attempts a previous operation (e.g., re-recording or re-assessing pronunciation). This is ambiguous but likely a low-risk utility action. Confidence is low due to the lack of description.

From the tool's definition Tool name is 'retry' and description is empty or uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

retry Rate-limited

retry 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": {
    "retry": {
      "limits": [
        {
          "counter": "retry_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Pronunciation & Voice Coach, so you can run agents against it safely.

FAQ

Questions about retry

What does the retry tool do? +

retry. It is categorised as a Other tool in the Pronunciation & Voice Coach MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on retry? +

Register the Pronunciation & Voice Coach MCP server in PolicyLayer and add a rule for retry: 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 Pronunciation & Voice Coach. Nothing to install.

What risk level is retry? +

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

Can I rate-limit retry? +

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

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

retry is provided by the Pronunciation & Voice Coach MCP server (pypi:mcp-server-pronunciation). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.