update_invoice
AI agents use update_invoice to create or update resources in Clockify Time Tracking — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Clockify Time Tracking environment.
The tool modifies invoice records, which are financial documents. While not directly moving money (that would be Financial category), updating invoices can alter billing terms, amounts, or status, affecting financial obligations. This is Write rather than Financial since it modifies the invoice itself rather than processing payments. Severity is high due to potential impact on billing and financial records.
From the tool's definition Tool name is 'update_invoice' indicating modification of invoice data. Context shows this is part of a Clockify time-tracking system with financial operations (sibling tools include 'add_invoice_item', 'add_invoice_payment', 'change_invoice_status').
Attacks that exploit this kind of access
update_invoice. It is categorised as a Write tool in the Clockify Time Tracking MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Clockify Time Tracking MCP server in PolicyLayer and add a rule for update_invoice: 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 Clockify Time Tracking. Nothing to install.
update_invoice is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_invoice 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 update_invoice. 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.
update_invoice is provided by the Clockify Time Tracking MCP server (pypi:clockify-mcp). 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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