mark_paid

[FacturaHub] Mark an invoice as paid

Server FacturaHub MCP Server santy1422/facturahub-mcp
Category Write
Risk class Medium
Parameters 00 required

What mark_paid does on FacturaHub MCP Server

AI agents use mark_paid to create or update resources in FacturaHub MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FacturaHub MCP Server environment.

Why mark_paid needs a policy

This tool modifies invoice data (changes payment status) reversibly—the action can be undone by marking it unpaid again. It is not destructive (no data is deleted), not financial (no money actually moves; it only records a state change), and not execute (no external operations triggered by variable arguments).

From the tool's definition Tool name 'mark_paid' and description 'Mark an invoice as paid' indicate a state modification operation that updates an invoice record from unpaid to paid status.

Questions about mark_paid

What does the mark_paid tool do? +

[FacturaHub] Mark an invoice as paid. It is categorised as a Write tool in the FacturaHub MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on mark_paid? +

Register the FacturaHub MCP Server MCP server in PolicyLayer and add a rule for mark_paid: 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 FacturaHub MCP Server. Nothing to install.

What risk level is mark_paid? +

mark_paid is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit mark_paid? +

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

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

mark_paid is provided by the FacturaHub MCP Server MCP server (santy1422/facturahub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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