ai_usage_log_stats

THE RISK

Low Risk

Why ai_usage_log_stats needs a policy

This tool retrieves and aggregates statistical information from a billing ledger for display purposes. It has no side effects—it does not create, modify, or delete data, nor does it execute external operations or commit financial transactions. It is purely informational, making it a Read category tool with low severity.

From the tool's definition Tool name 'ai_usage_log_stats' and description 'Dashboard KPIs for the billing ledger: totals, per-model breakdown' indicate data retrieval and aggregation.

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

POLICY

How to control ai_usage_log_stats

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_usage_log_stats": {}
  }
}

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

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

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about ai_usage_log_stats

What does the ai_usage_log_stats tool do? +

Dashboard KPIs for the billing ledger: totals, per-model breakdown,. It is categorised as a Read tool in the Odoo Claude MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ai_usage_log_stats? +

Register the Odoo Claude MCP server in PolicyLayer and add a rule for ai_usage_log_stats: 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 Odoo Claude MCP. Nothing to install.

What risk level is ai_usage_log_stats? +

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

Can I rate-limit ai_usage_log_stats? +

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

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

ai_usage_log_stats is provided by the Odoo Claude MCP server (rosenvladimirov/odoo-claude-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Odoo Claude MCP tool call.

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

CHECK YOUR STACK →