list_dimensions
Use this when the user wants to see available dimensions for cost analysis queries. Returns id, label and type metadata only (no values), up to 200 dimensions per page, sorted by id. GKE dimensions are omitted. pageToken retrieves subsequent pages; rowCount counts this page. get_dimension retriev...
This record as markdown: /tools/doit/list-dimensions.md
What list_dimensions does on Doit
AI agents call list_dimensions 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 |
|---|---|---|---|
filter | string | — | Filter string in format 'key:value|key:value'. Exact, case-sensitive filters: type and label. Different keys combine with AND; repeated keys are rejected. The A |
pageToken | string | — | Token for pagination, from a previous response; returns the next page of results. |
Parameters from the server's own tool schema.
Why list_dimensions is rated Low
Even though list_dimensions 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 list_dimensions 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 list_dimensions, this is the rule to start with:
list_dimensions 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 list_dimensions call is checked against it from then on.
Questions about list_dimensions
Use this when the user wants to see available dimensions for cost analysis queries. Returns id, label and type metadata only (no values), up to 200 dimensions per page, sorted by id. GKE dimensions are omitted. pageToken retrieves subsequent pages; rowCount counts this page. get_dimension retrieves values. Empty results return an error. Do NOT use this for running cost queries directly (use run_query) or viewing allocations (use list_allocations). It is categorised as a Read tool in the Doit MCP Server, which means it retrieves data without modifying state.
list_dimensions accepts 2 parameters: filter, pageToken. 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 list_dimensions: 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.
list_dimensions 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_dimensions 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_dimensions. 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_dimensions 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.
More on Doit, and thousands of servers like it.
This server
Across the catalogue