java_jfr_summary
AI agents call java_jfr_summary to retrieve information from Heap Seance without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
JFR summary retrieval does not modify, delete, execute external commands, or create financial obligations. It queries and presents diagnostic data collected from an already-running or completed JFR session. This is consistent with the 'Read' category.
From the tool's definition Tool name 'java_jfr_summary' and server context indicate it summarizes Java Flight Recorder (JFR) recordings. JFR is a diagnostic profiling tool that collects runtime telemetry.
Attacks that exploit this kind of access
java_jfr_summary. It is categorised as a Read tool in the Heap Seance MCP Server, which means it retrieves data without modifying state.
Register the Heap Seance MCP server in PolicyLayer and add a rule for java_jfr_summary: 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 Heap Seance. Nothing to install.
java_jfr_summary 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 java_jfr_summary 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 java_jfr_summary. 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.
java_jfr_summary is provided by the Heap Seance MCP server (segfaultsorcerer/heap-seance). 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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