public
Whether the gist is public (boolean, optional)
This record as markdown: /tools/io-github-aifity-omnigit-mcp/public.md
What public does on GitHub
AI agents call public 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 public is rated Low
This tool retrieves or checks the visibility state of a gist. It does not create, modify, delete, or execute any operations—it simply reads or exposes a data property. The low severity reflects that checking whether a gist is public has minimal blast radius and no side effects.
From the tool's definition Tool name 'public' is described as a boolean property indicating 'Whether the gist is public'. This is a parameter or field descriptor used to query or filter gist visibility status.
Attacks that exploit this kind of access
The rule that runs public 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 public, this is the rule to start with:
public 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 public call is checked against it from then on.
Questions about public
Whether the gist is public (boolean, 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 public: 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.
public 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 public 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 public. 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.
public 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.
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