list_gcp_recommendations
Evaluate current GCP commitments, plan and automate purchases, and optimize cloud costs with PerfectScale for Commitments. Returns commitment purchase recommendations for the billing account, filtered to the term preferred in each product line's settings (preferredCommitmentPeriod). gcp_service a...
This record as markdown: /tools/doit/list-gcp-recommendations.md
What list_gcp_recommendations does on Doit
AI agents call list_gcp_recommendations 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 |
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.
Why list_gcp_recommendations is rated Low
Even though list_gcp_recommendations 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_gcp_recommendations 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_recommendations, this is the rule to start with:
list_gcp_recommendations 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_gcp_recommendations call is checked against it from then on.
Questions about list_gcp_recommendations
Evaluate current GCP commitments, plan and automate purchases, and optimize cloud costs with PerfectScale for Commitments. Returns commitment purchase recommendations for the billing account, filtered to the term preferred in each product line's settings (preferredCommitmentPeriod). gcp_service and region filters: omit both to return recommendations for all product lines (compute, cloud_sql) across all their regions. Supply gcp_service alone to return all regions for that service; supply both to return a single service/region scope. region 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 data returns 200 with an empty items array. 404 is returned only when the billing account does not exist or the caller cannot access it. A billing account with no matching recommendation documents returns 200 with an empty items array. It is categorised as a Read tool in the Doit MCP Server, which means it retrieves data without modifying state.
list_gcp_recommendations accepts 5 parameters: region, X-Tenant-Id, gcp_service, customerContext, billingAccountId. Required: billingAccountId. 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_gcp_recommendations: 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_gcp_recommendations 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_gcp_recommendations 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_gcp_recommendations. 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_gcp_recommendations 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