Low Risk

analyze_revenue_health

Analyzes financial metrics (MRR/ARR, churn, CAC/LTV, burn rate) and produces a Revenue Health Score (1-100). Use when the user provides financial data as JSON.

How to control analyze_revenue_health ↓

What analyze_revenue_health does on openGlad

AI agents call analyze_revenue_health to retrieve information from openGlad without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why analyze_revenue_health needs a policy

This tool performs financial analysis and calculation on user-supplied data. It has no side effects: it does not create, modify, or delete data; does not execute code or commands; and does not move money or create financial obligations. The output is a diagnostic score derived from input metrics. This is purely a Read operation (analysis/calculation of provided data).

From the tool's definition Tool 'analyzes financial metrics' and 'produces a Revenue Health Score' — it retrieves and computes metrics from provided data without modifying, deleting, or executing external operations.

Documented attack patterns abuse exactly the kind of access analyze_revenue_health gives an agent:

How to control analyze_revenue_health

PolicyLayer is an MCP gateway — it sits between your AI agents and openGlad, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_revenue_health:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_revenue_health": {}
  }
}

analyze_revenue_health is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register openGlad — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about analyze_revenue_health

What does the analyze_revenue_health tool do? +

Analyzes financial metrics (MRR/ARR, churn, CAC/LTV, burn rate) and produces a Revenue Health Score (1-100). Use when the user provides financial data as JSON. It is categorised as a Read tool in the openGlad MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_revenue_health? +

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

What risk level is analyze_revenue_health? +

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

Can I rate-limit analyze_revenue_health? +

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

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

analyze_revenue_health is provided by the openGlad MCP server (tuguberk/openglad). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every openGlad tool call.

Start from openGlad, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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13 openGlad tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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