Get a single adjustment by ID within a project.
AI agents call get_adjustment to retrieve information from TreeBeam MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The verb 'get' combined with 'by ID' is a standard read operation that queries and retrieves existing data. The description contains no language suggesting side effects, state changes, or reversible modifications.
From the tool's definition Tool name 'get_adjustment' and description 'Get a single adjustment by ID within a project' indicate a retrieval operation with no modification or deletion.
Attacks that exploit this kind of access
Get a single adjustment by ID within a project. It is categorised as a Read tool in the TreeBeam MCP Server MCP Server, which means it retrieves data without modifying state.
Register the TreeBeam MCP Server MCP server in PolicyLayer and add a rule for get_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.
get_adjustment 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_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 get_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.
get_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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