List all available adjustment types (e.g. PAJE, TAJE). These are global reference values not scoped to a project. Results are paginated — if a continuationToken is returned, pass it in the next call to retrieve more.
AI agents call list_adjustment_types 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.
This tool queries and returns a list of reference data (adjustment types) from the TreeBeam platform. It is a read-only operation with no capability to modify, delete, or execute external actions. The paginated results pattern is typical of data retrieval endpoints. Severity is low because the data returned are global reference values with no sensitive information exposure or operational impact.
From the tool's definition Tool name is 'list_adjustment_types' and description states it 'List[s] all available adjustment types' which are 'global reference values'. The operation retrieves data without modification or side effects.
Attacks that exploit this kind of access
List all available adjustment types (e.g. PAJE, TAJE). These are global reference values not scoped to a project. Results are paginated — if a continuationToken is returned, pass it in the next call to retrieve more. 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 list_adjustment_types: 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.
list_adjustment_types 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 list_adjustment_types 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 list_adjustment_types. 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.
list_adjustment_types 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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