gcp_bq_get_job

Get details of a BigQuery job

SERVERGCP MCP Server SOURCEahmedselimmansor-ctrl/gcp_mcp_server

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/ahmedselimmansor-ctrl-gcp-mcp-server/gcp-bq-get-job.md

WHAT IT DOES

What gcp_bq_get_job does on GCP MCP Server

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

RISK

Why gcp_bq_get_job is rated Low

This tool retrieves or queries job details from BigQuery without creating, modifying, deleting, or executing operations. It is a read-only operation with no side effects. Severity is low because exposure of job metadata has limited blast radius—an attacker could learn about past queries or job status but cannot manipulate data or infrastructure.

From the tool's definition Tool name 'gcp_bq_get_job' and description 'Get details of a BigQuery job' indicate a retrieval operation with the verb 'get', which queries existing job metadata without modification.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gcp_bq_get_job safely

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

gcp_bq_get_job Allowed

gcp_bq_get_job 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": {
    "gcp_bq_get_job": {}
  }
}

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

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

FAQ

Questions about gcp_bq_get_job

What does the gcp_bq_get_job tool do? +

Get details of a BigQuery job. It is categorised as a Read tool in the GCP MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on gcp_bq_get_job? +

Register the GCP MCP Server MCP server in PolicyLayer and add a rule for gcp_bq_get_job: 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 GCP MCP Server. Nothing to install.

What risk level is gcp_bq_get_job? +

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

Can I rate-limit gcp_bq_get_job? +

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

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

gcp_bq_get_job is provided by the GCP MCP Server MCP server (ahmedselimmansor-ctrl/gcp_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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