Returns annotations for a property. Annotations are a feature that allows you to leave notes on GA4 for specific dates or periods. They are typically used to record service releases, marketing campaign launches or changes, and rapid traffic increases or decreases due to external factors. Args: ...
Part of the Google Analytics MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call list_property_annotations to retrieve information from Google Analytics without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though list_property_annotations only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
list_property_annotations:
rules:
- action: allowSee the full Google Analytics policy for all 7 tools.
Agents calling read-class tools like list_property_annotations have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Returns annotations for a property. Annotations are a feature that allows you to leave notes on GA4 for specific dates or periods. They are typically used to record service releases, marketing campaign launches or changes, and rapid traffic increases or decreases due to external factors. Args: property_id: The Google Analytics property ID. Accepted formats are: - A number - A string consisting of 'properties/' followed by a number. It is categorised as a Read tool in the Google Analytics MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for list_property_annotations. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Google Analytics MCP server.
list_property_annotations 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_property_annotations rule in your Intercept 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 Intercept policy for list_property_annotations. 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_property_annotations is provided by the Google Analytics MCP server (google-analytics). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept