replay_request
Re-sends a captured request (by numeric id from search_network) from the
This record as markdown: /tools/1600822305-js-reverse-mcp/replay-request.md
What replay_request does on Js Reverse
AI agents invoke replay_request to trigger actions in Js Reverse. 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 replay_request is rated High
Replaying a network request triggers an external HTTP operation — it re-executes a previously captured request against a remote endpoint. This is an Execute-category action because its effects depend on the request being replayed and can cause side effects on external systems (e.g., re-submitting form data, triggering API calls).
From the tool's definition Re-sends a captured request (by numeric id from search_network)
Attacks that exploit this kind of access
The rule that runs replay_request safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Js Reverse, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For replay_request, this is the rule to start with:
replay_request 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 Js Reverse, apply this rule, and every replay_request call is checked against it from then on.
Questions about replay_request
Re-sends a captured request (by numeric id from search_network) from the. It is categorised as a Execute tool in the Js Reverse MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Js Reverse MCP server in PolicyLayer and add a rule for replay_request: 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 Js Reverse. Nothing to install.
replay_request 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 replay_request 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 replay_request. 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.
replay_request is provided by the Js Reverse MCP server (1600822305/js-reverse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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