list_gcp_spend_cuds

SERVERDoit SOURCE@doitintl/doit-mcp-server

Low RISK CLASS

Category Read

Parameters 81 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/doit/list-gcp-spend-cuds.md

WHAT IT DOES

What list_gcp_spend_cuds does on Doit

AI agents call list_gcp_spend_cuds 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
`region`	string	—	GCP region scope in the DCI `lower_snake_case` wire form (for example `us_east1`), or the literal `global` for cross-region scopes. This is not the raw provider
`status`	string	—
`pageToken`	string	—
`maxResults`	number	—
`X-Tenant-Id`	string	—
`gcp_service`	string	—
`customerContext`	string	—	Scope the request to a specific customer by ID. Required for DoiT employees (whose token isn't tied to a single customer); omit for direct customer users.
`billingAccountId`	string	Yes

Parameters from the server's own tool schema.

RISK

Why list_gcp_spend_cuds is rated Low

Even though list_gcp_spend_cuds 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

RECOMMENDED RULE

The rule that runs list_gcp_spend_cuds 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_gcp_spend_cuds, this is the rule to start with:

list_gcp_spend_cuds Allowed

list_gcp_spend_cuds is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_gcp_spend_cuds": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Doit, apply this rule, and every list_gcp_spend_cuds call is checked against it from then on.

FAQ

Questions about list_gcp_spend_cuds

What does the list_gcp_spend_cuds tool do? +

Evaluate current GCP commitments, plan and automate purchases, and optimize cloud costs with PerfectScale for Commitments. Returns a paginated list of spend-based CUDs for the billing account. Optionally filter by CUD state (status); omit to return CUDs in all states. gcp_service and region filters: gcp_service narrows results to one product line's coverage sub-type (compute or cloud_sql); region additionally narrows to one region scope and requires gcp_service — a request with region but no gcp_service returns 400 with code gcp_service_required. A region that is malformed or incompatible with gcp_service (compute is global-only, cloud_sql is regional-only) returns 400 with code validation_failed; a well-formed, compatible region with no matching CUDs returns 200 with an empty items array. Note the region query parameter uses the lower_snake_case wire form (us_central1), while each item's region field echoes the raw provider value (us-central1). This endpoint is paginated: a response with a non-empty pageToken has more results, returned when that value is passed as the pageToken parameter. A missing, null, or empty pageToken marks the last page. It is categorised as a Read tool in the Doit MCP Server, which means it retrieves data without modifying state.

What parameters does list_gcp_spend_cuds accept? +

list_gcp_spend_cuds accepts 8 parameters: region, status, pageToken, maxResults, X-Tenant-Id, gcp_service, customerContext, billingAccountId. Required: billingAccountId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on list_gcp_spend_cuds? +

Register the Doit MCP server in PolicyLayer and add a rule for list_gcp_spend_cuds: 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.

What risk level is list_gcp_spend_cuds? +

list_gcp_spend_cuds is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_gcp_spend_cuds? +

Yes. Add a rate_limit block to the list_gcp_spend_cuds 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.

How do I block list_gcp_spend_cuds completely? +

Set action: deny in the PolicyLayer policy for list_gcp_spend_cuds. 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.

What MCP server provides list_gcp_spend_cuds? +

list_gcp_spend_cuds 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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