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parse_email_intent

Parse email intent from natural language without sending

Part of the JHJ-email-mcp server.

parse_email_intent can trigger actions in JHJ-email-mcp, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke parse_email_intent to trigger processes or run actions in JHJ-email-mcp. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

parse_email_intent can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "parse_email_intent": {
      "limits": [
        {
          "counter": "parse_email_intent_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full JHJ-email-mcp policy for all 4 tools.

Get this rule live on your own JHJ-email-mcp 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 parse_email_intent gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

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

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

What does the parse_email_intent tool do? +

Parse email intent from natural language without sending. It is categorised as a Execute tool in the JHJ-email-mcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on parse_email_intent? +

Register the JHJ-email- MCP server in PolicyLayer and add a rule for parse_email_intent: 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 JHJ-email-mcp. Nothing to install.

What risk level is parse_email_intent? +

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

Can I rate-limit parse_email_intent? +

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

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

parse_email_intent is provided by the JHJ-email- MCP server (jhongjun1981/emailassistant-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every JHJ-email-mcp tool call.

Deterministic rules across all 4 JHJ-email-mcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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