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list_alert_policies

Use this as the primary tool to list the alerting policies in a Google Cloud project. Alerting policies define the conditions under which you want to be notified about issues with your services. This is useful for understanding what alerts are currently configured.

SERVERMcp SOURCEhttps://monitoring.googleapis.com/mcp
Low RISK CLASS
Category Read
Parameters 51 required
Recommended Allowedsee the rule below
Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/com-googleapis-monitoring-mcp/list-alert-policies.md

What list_alert_policies does on Mcp

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

ParameterTypeRequiredDescription
name string Yes Required. The [project](https://cloud.google.com/monitoring/api/v3#project_name) whose alert policies are to be listed. The format is: projects/[PROJECT_ID_OR_N
filter string Optional. If provided, this field specifies the criteria that must be met by alert policies to be included in the response. For more details, see [sorting and f
orderBy string Optional. A comma-separated list of fields by which to sort the result. Supports the same set of field references as the `filter` field. Entries can be prefixed
pageSize integer Optional. The maximum number of results to return in a single response.
pageToken string Optional. If this field is not empty then it must contain the `nextPageToken` value returned by a previous call to this method. Using this field causes the meth

Parameters from the server's own tool schema.

Why list_alert_policies is rated Low

This tool retrieves alerting policy information from a monitoring/observability system. It performs a read-only query operation (list) with no side effects, no data modification, no code execution, and no destructive or financial implications. The low severity reflects minimal risk even if an AI agent calls it unexpectedly.

From the tool's definition Tool description states it 'list' alerting policies and 'understand what alerts are currently configured' — purely retrieves and queries existing data without modification or execution.

Questions about list_alert_policies

What does the list_alert_policies tool do? +

Use this as the primary tool to list the alerting policies in a Google Cloud project. Alerting policies define the conditions under which you want to be notified about issues with your services. This is useful for understanding what alerts are currently configured. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.

What parameters does list_alert_policies accept? +

list_alert_policies accepts 5 parameters: name, filter, orderBy, pageSize, pageToken. Required: name. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on list_alert_policies? +

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

What risk level is list_alert_policies? +

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

Can I rate-limit list_alert_policies? +

Yes. Add a rate_limit block to the list_alert_policies 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_alert_policies completely? +

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

list_alert_policies is provided by the MCP server (https://monitoring.googleapis.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on , and thousands of servers like it.

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