AI agents call get_usage_ledger to retrieve information from Todos without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns aggregated usage statistics without creating, modifying, deleting, or executing operations. It is a pure read operation with minimal blast radius — disclosing usage data would be a confidentiality concern but not a safety hazard if an AI agent calls it.
From the tool's definition Tool name is 'get_usage_ledger' and description states it 'Get[s] an aggregate local usage ledger' — a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Get an aggregate local usage ledger for tasks, projects, runs, commands, costs, durations, storage, and simulated quotas. It is categorised as a Read tool in the Todos MCP Server, which means it retrieves data without modifying state.
Register the Todos MCP server in PolicyLayer and add a rule for get_usage_ledger: 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 Todos. Nothing to install.
get_usage_ledger is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_usage_ledger 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.
Set action: deny in the PolicyLayer policy for get_usage_ledger. 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.
get_usage_ledger is provided by the Todos MCP server (@hasna/todos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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