instrumentation_network_replay
Replay a captured network request inside an instrumentation session.
This record as markdown: /tools/io-github-vmoranv-jshookmcp/instrumentation-network-replay.md
What instrumentation_network_replay does on Jshookmcp
AI agents invoke instrumentation_network_replay to trigger actions in Jshookmcp. 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 instrumentation_network_replay is rated High
Replaying network requests triggers external operations with unpredictable side effects.
From the tool's definition Replay a captured network request inside an instrumentation session
Attacks that exploit this kind of access
The rule that runs instrumentation_network_replay safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Jshookmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For instrumentation_network_replay, this is the rule to start with:
instrumentation_network_replay 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 Jshookmcp, apply this rule, and every instrumentation_network_replay call is checked against it from then on.
Questions about instrumentation_network_replay
Replay a captured network request inside an instrumentation session. It is categorised as a Execute tool in the Jshookmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Jshook MCP server in PolicyLayer and add a rule for instrumentation_network_replay: 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 Jshookmcp. Nothing to install.
instrumentation_network_replay 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 instrumentation_network_replay 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 instrumentation_network_replay. 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.
instrumentation_network_replay is provided by the Jshook MCP server (@jshookmcp/jshook). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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