Update an existing adjustment header within a project. Line items are managed separately via the *_adjustment_line_item tools.
AI agents use update_adjustment to create or update resources in TreeBeam MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TreeBeam MCP Server environment.
This tool modifies (rather than creates or deletes) existing adjustment records in a financial accounting system. It is reversible via subsequent updates, placing it in Write rather than Destructive. However, because adjustments are core accounting data that affect financial reporting, ledgers, and audit trails, the severity is high—misuse could corrupt financial records or create fraudulent adjustments.
From the tool's definition Tool name 'update_adjustment' and description 'Update an existing adjustment' indicates modification of financial data. The TreeBeam platform is explicitly described as a 'financial management and accounting platform,' making adjustments financial records.
Attacks that exploit this kind of access
Update an existing adjustment header within a project. Line items are managed separately via the *_adjustment_line_item tools. It is categorised as a Write tool in the TreeBeam MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the TreeBeam MCP Server MCP server in PolicyLayer and add a rule for update_adjustment: 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 TreeBeam MCP Server. Nothing to install.
update_adjustment 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_adjustment 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_adjustment. 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_adjustment is provided by the TreeBeam MCP Server MCP server (treebeam-code/tb-mcpserver). 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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