get_dimension
Use this when the valid filter values for a specific dimension are needed, such as for a run_query filter, or when the user wants to view dimension details. Returns id, label, type and all available value/cloud pairs in one response, without pagination. For example, get_dimension({type: 'fixed', ...
This record as markdown: /tools/doit/get-dimension.md
What get_dimension does on Doit
AI agents call get_dimension to retrieve information from Doit without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | string | Yes | Dimension identifier paired with type, from list_dimensions. For allocation, use the group ID; for allocation_rule, use 'allocation_rule' (the dimension key, no |
type | string | Yes | Dimension type paired with id; use the type returned by list_dimensions. Includes allocation and allocation_rule and legacy attribution types. |
Parameters from the server's own tool schema.
Why get_dimension is rated Low
Even though get_dimension only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs get_dimension safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Doit, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_dimension, this is the rule to start with:
get_dimension is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Doit, apply this rule, and every get_dimension call is checked against it from then on.
Questions about get_dimension
Use this when the valid filter values for a specific dimension are needed, such as for a run_query filter, or when the user wants to view dimension details. Returns id, label, type and all available value/cloud pairs in one response, without pagination. For example, get_dimension({type: 'fixed', id: 'cloud_provider'}) returns the exact provider IDs available for this customer. Do NOT use this for listing all dimensions (use list_dimensions) or running queries (use run_query). It is categorised as a Read tool in the Doit MCP Server, which means it retrieves data without modifying state.
get_dimension accepts 2 parameters: id, type. Required: id, type. The full parameter table on this page comes from the server's own tool schema.
Register the Doit MCP server in PolicyLayer and add a rule for get_dimension: 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 Doit. Nothing to install.
get_dimension 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_dimension 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_dimension. 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_dimension is provided by the Doit MCP server (@doitintl/doit-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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