github_trigger_workflow
A execute tool on the Github MCP server.
This record as markdown: /tools/dkeeno-github-mcp-server/github-trigger-workflow.md
What github_trigger_workflow does on Github
AI agents invoke github_trigger_workflow to trigger actions in Github. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why github_trigger_workflow is rated High
Triggering a GitHub Actions workflow executes code in a CI/CD context whose effects depend on the workflow's implementation and arguments. This can modify repositories, deploy applications, run scripts, or interact with external systems. While not inherently destructive or financial, the blast radius is high if a workflow performs sensitive operations (deployments, credential rotation, data processing).
From the tool's definition Tool name 'github_trigger_workflow' combined with server's stated capability to manage 'GitHub Actions' indicates execution of automated workflows. The 'trigger' verb and GitHub Actions context establish this as an action that runs external operations.
Attacks that exploit this kind of access
The rule that runs github_trigger_workflow 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 github_trigger_workflow, this is the rule to start with:
github_trigger_workflow stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. 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 github_trigger_workflow call is checked against it from then on.
Questions about github_trigger_workflow
github_trigger_workflow is a execute tool on the Github MCP server. It is categorised as a Execute tool in the Github MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Github MCP server in PolicyLayer and add a rule for github_trigger_workflow: 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.
github_trigger_workflow is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the github_trigger_workflow 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 github_trigger_workflow. 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.
github_trigger_workflow is provided by the Github MCP server (dkeeno/github-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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