event
Review action to perform. (string, optional)
This record as markdown: /tools/io-github-aifity-omnigit-mcp/event.md
What event does on GitHub
AI agents call event to retrieve information from GitHub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why event is rated Low
The tool appears to retrieve or query event information from GitHub actions workflows based on its naming and the context of sibling tools (actions_list, actions_get suggest read operations). Without evidence of modification, execution triggering, or deletion, this classifies as Read.
From the tool's definition Tool name 'event' with description 'Review action to perform' appears to be a parameter or retrieval mechanism for examining GitHub actions/events rather than executing or modifying them. The passive 'review' language suggests querying or listing event data.
Attacks that exploit this kind of access
The rule that runs event safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GitHub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For event, this is the rule to start with:
event is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every event call is checked against it from then on.
Questions about event
Review action to perform. (string, optional). It is categorised as a Read tool in the GitHub MCP Server, which means it retrieves data without modifying state.
Register the GitHub MCP server in PolicyLayer and add a rule for event: 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 GitHub. Nothing to install.
event 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 event 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 event. 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.
event is provided by the GitHub MCP server (oci:ghcr.io/aifity/omnigit-mcp:0.5.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on GitHub, and thousands of servers like it.
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