Cancel a running asynchronous report execution
AI agents invoke jasper_cancel_execution to trigger actions in Jasperreports. 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 a running execution triggers an active server-side operation to terminate an in-progress process. This is an Execute-category action as it affects an ongoing operation. While it terminates something, the data itself is not deleted or irreversibly destroyed — the report can be re-run — so Destructive is not appropriate. Severity is medium since misuse could disrupt legitimate reporting workflows.
From the tool's definition Cancel a running asynchronous report execution
Documented attack patterns abuse exactly the kind of access jasper_cancel_execution gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Jasperreports, and nothing reaches the server without passing your rules. This is the rule we recommend for jasper_cancel_execution:
{
"version": "1",
"default": "deny",
"tools": {
"jasper_cancel_execution": {
"limits": [
{
"counter": "jasper_cancel_execution_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} jasper_cancel_execution 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.
Free to start. No card required.
Cancel a running asynchronous report execution. It is categorised as a Execute tool in the Jasperreports MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Jasperreports MCP server in PolicyLayer and add a rule for jasper_cancel_execution: 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 Jasperreports. Nothing to install.
jasper_cancel_execution 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 jasper_cancel_execution 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 jasper_cancel_execution. 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.
jasper_cancel_execution is provided by the Jasperreports MCP server (mr-wolf-gb/jasperreports-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Jasperreports, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
37 Jasperreports tools catalogued and risk-classified — across an index of 43,000+ MCP servers.