mailosaur_analysis_deliverability

WHAT IT DOES

What mailosaur_analysis_deliverability does on Mailosaur MCP

AI agents invoke mailosaur_analysis_deliverability to trigger actions in Mailosaur MCP. 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 mailosaur_analysis_deliverability needs a policy

This tool executes an analysis operation rather than simply reading data. While it doesn't delete, modify, or move money, it triggers a processing action on external systems (Mailosaur's analysis infrastructure). Classified as Execute rather than Read because it actively runs/triggers analysis rather than passively retrieving pre-computed results.

From the tool's definition Tool performs 'deliverability analysis' on a message, which triggers external analysis operations on email systems. This runs a defined operation/analysis workflow whose effects depend on the message argument provided.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

mailosaur_analysis_deliverability Rate-limited

mailosaur_analysis_deliverability 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": {
    "mailosaur_analysis_deliverability": {
      "limits": [
        {
          "counter": "mailosaur_analysis_deliverability_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 Mailosaur MCP, so you can run agents against it safely.

FAQ

Questions about mailosaur_analysis_deliverability

What does the mailosaur_analysis_deliverability tool do? +

Run deliverability analysis for a message. It is categorised as a Execute tool in the Mailosaur 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 mailosaur_analysis_deliverability? +

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

What risk level is mailosaur_analysis_deliverability? +

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

Can I rate-limit mailosaur_analysis_deliverability? +

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

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

mailosaur_analysis_deliverability is provided by the Mailosaur MCP server (mrnewdelhi/mailosaur-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.