Get SafetyCulture actions for a specific time period using the feed API.
AI agents call get_actions to retrieve information from SafetyCulture MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves action records from SafetyCulture's feed API within a specified time period. The operation has no side effects, creates no mutations, and poses minimal risk if accessed by an AI agent. The severity is low because even if an agent retrieved large volumes of action data, it would only expose information already present in the system without causing harm.
From the tool's definition Tool description states 'Get SafetyCulture actions for a specific time period using the feed API' — the verb 'Get' indicates retrieval of data without modification.
Attacks that exploit this kind of access
Get SafetyCulture actions for a specific time period using the feed API. It is categorised as a Read tool in the SafetyCulture MCP Server MCP Server, which means it retrieves data without modifying state.
Register the SafetyCulture MCP Server MCP server in PolicyLayer and add a rule for get_actions: 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 SafetyCulture MCP Server. Nothing to install.
get_actions 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 get_actions 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.
Set action: deny in the PolicyLayer policy for get_actions. 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.
get_actions is provided by the SafetyCulture MCP Server MCP server (zerubroberts/safetyculture-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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