bigquery_list_projects

List the GCP projects a BigQuery connection can access. Use the project id as gcp_project_id when creating dashboard queries.

SERVERDeloc SOURCEdelocdev/deloc-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/deloc-mcp/bigquery-list-projects.md

WHAT IT DOES

What bigquery_list_projects does on Deloc

AI agents call bigquery_list_projects to retrieve information from Deloc without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why bigquery_list_projects is rated Low

This tool performs a query operation that returns a list of projects without side effects. It does not create, modify, delete, or execute anything. The retrieval of project metadata is a read-only operation with minimal blast radius—worst case, an agent learns about accessible GCP projects but cannot act on them without separate write/execute tools.

From the tool's definition Tool name 'bigquery_list_projects' and description 'List the GCP projects' indicate data retrieval with no modification. The phrase 'Use the project id as gcp_project_id when creating dashboard queries' confirms it serves an informational role only.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs bigquery_list_projects safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Deloc, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For bigquery_list_projects, this is the rule to start with:

bigquery_list_projects Allowed

bigquery_list_projects 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": {
    "bigquery_list_projects": {}
  }
}

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

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

FAQ

Questions about bigquery_list_projects

What does the bigquery_list_projects tool do? +

List the GCP projects a BigQuery connection can access. Use the project id as gcp_project_id when creating dashboard queries. It is categorised as a Read tool in the Deloc MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on bigquery_list_projects? +

Register the Deloc MCP server in PolicyLayer and add a rule for bigquery_list_projects: 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 Deloc. Nothing to install.

What risk level is bigquery_list_projects? +

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

Can I rate-limit bigquery_list_projects? +

Yes. Add a rate_limit block to the bigquery_list_projects 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 bigquery_list_projects completely? +

Set action: deny in the PolicyLayer policy for bigquery_list_projects. 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 bigquery_list_projects? +

bigquery_list_projects is provided by the Deloc MCP server (delocdev/deloc-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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