This record as markdown: /tools/dkeeno-github-mcp-server/github-cancel-workflow-run.md
What github_cancel_workflow_run does on Github
AI agents invoke github_cancel_workflow_run 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_cancel_workflow_run is rated High
Cancelling a workflow run is an external operation that interrupts an active CI/CD process. It is not merely reading data, nor does it delete/overwrite data irreversibly, but it triggers an operational change (stopping a workflow) with potentially significant consequences if an agent misuses it — e.g., aborting deployments or critical automation pipelines.
From the tool's definition Cancel a running workflow
Attacks that exploit this kind of access
The rule that runs github_cancel_workflow_run 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_cancel_workflow_run, this is the rule to start with:
github_cancel_workflow_run 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_cancel_workflow_run call is checked against it from then on.
Questions about github_cancel_workflow_run
Cancel a running workflow. 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_cancel_workflow_run: 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_cancel_workflow_run 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_cancel_workflow_run 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_cancel_workflow_run. 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_cancel_workflow_run 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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