retry_failed_emails_tool · Email Insights MCP: Risk & Policy

WHAT IT DOES

What retry_failed_emails_tool does on Email Insights

AI agents invoke retry_failed_emails_tool to trigger actions in Email Insights. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why retry_failed_emails_tool needs a policy

Based on the tool name, this likely re-executes a previously failed email extraction/processing job, which fits the Execute category (triggering external operations). The sibling tools like 'schedule_extraction_tool' and 'check_job_status_tool' suggest a job-processing pipeline context. Since the description is empty, confidence is reduced.

From the tool's definition Tool name 'retry_failed_emails_tool' suggests re-triggering processing of previously failed emails; description is empty and uninformative, lowering confidence

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

retry_failed_emails_tool Rate-limited

retry_failed_emails_tool stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "retry_failed_emails_tool": {
      "limits": [
        {
          "counter": "retry_failed_emails_tool_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about retry_failed_emails_tool

What does the retry_failed_emails_tool tool do? +

retry_failed_emails_tool. It is categorised as a Execute tool in the Email Insights MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on retry_failed_emails_tool? +

Register the Email Insights MCP server in PolicyLayer and add a rule for retry_failed_emails_tool: 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 Email Insights. Nothing to install.

What risk level is retry_failed_emails_tool? +

retry_failed_emails_tool is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit retry_failed_emails_tool? +

Yes. Add a rate_limit block to the retry_failed_emails_tool 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_failed_emails_tool completely? +

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

retry_failed_emails_tool is provided by the Email Insights MCP server (shubby98/email-insights). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.