AI agents invoke cancel_agent_run to trigger actions in Scrumdo. 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.
Cancelling an in-flight run is an action that triggers an external operation (stopping an active process). It is not a simple read, nor does it delete data irreversibly, but it does affect the state of a running agent execution. This best fits Execute as it performs an action with side effects on an ongoing operation.
From the tool's definition Cancel an in-flight run
Attacks that exploit this kind of access
Cancel an in-flight run. It is categorised as a Execute tool in the Scrumdo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Scrumdo MCP server in PolicyLayer and add a rule for cancel_agent_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 Scrumdo. Nothing to install.
cancel_agent_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 cancel_agent_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 cancel_agent_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.
cancel_agent_run is provided by the Scrumdo MCP server (scrumdollc/scrumdo-mcp). 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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