gcp-logging-query-time-range

THE RISK

Low Risk

Why gcp-logging-query-time-range needs a policy

This tool retrieves/queries log data with no side effects on the logs themselves. It is a Read operation. Severity is medium rather than low because: (1) logs often contain sensitive information including secrets, authentication tokens, API keys, error traces with internal details, and PII; (2) an agent with broad query capabilities could extract and exfiltrate such data; (3) the time-range feature gives attackers…

From the tool's definition Tool name contains 'query' and description states 'Query Google Cloud Logs' — a retrieval operation with no modification. However, logs may contain sensitive PII, credentials, or other security-relevant data that could be exposed via broad queries.

Documented attack patterns abuse exactly the kind of access gcp-logging-query-time-range gives an agent:

POLICY

How to control gcp-logging-query-time-range

PolicyLayer is an MCP gateway — it sits between your AI agents and Google Cloud MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for gcp-logging-query-time-range:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "gcp-logging-query-time-range": {}
  }
}

gcp-logging-query-time-range is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Google Cloud MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

Related tools and policies

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about gcp-logging-query-time-range

What does the gcp-logging-query-time-range tool do? +

Query Google Cloud Logs within a specific time range. Supports relative times (1h, 2d) and ISO timestamps. It is categorised as a Read tool in the Google Cloud MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on gcp-logging-query-time-range? +

Register the Google Cloud MCP Server MCP server in PolicyLayer and add a rule for gcp-logging-query-time-range: 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 Google Cloud MCP Server. Nothing to install.

What risk level is gcp-logging-query-time-range? +

gcp-logging-query-time-range is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit gcp-logging-query-time-range? +

Yes. Add a rate_limit block to the gcp-logging-query-time-range 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-logging-query-time-range completely? +

Set action: deny in the PolicyLayer policy for gcp-logging-query-time-range. 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-logging-query-time-range? +

gcp-logging-query-time-range is provided by the Google Cloud MCP Server MCP server (krzko/google-cloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Google Cloud MCP Server tool call.

Start from Google Cloud MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →