This record as markdown: /tools/io-github-homenshum-nodebench/get-path-replay.md
What get_path_replay does on Nodebench
AI agents invoke get_path_replay to trigger actions in Nodebench. 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 get_path_replay is rated High
Replaying a session suggests re-running a sequence of previously recorded actions, which constitutes execution of operations rather than a simple read. The blast radius is medium because the effects depend on what actions the original session contained, which is unknown from the description alone. Confidence is moderate due to the vague description.
From the tool's definition 'Replay a session' — replaying a recorded session implies re-executing or re-triggering a sequence of prior actions/operations
Attacks that exploit this kind of access
The rule that runs get_path_replay safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_path_replay, this is the rule to start with:
get_path_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 Nodebench, apply this rule, and every get_path_replay call is checked against it from then on.
Questions about get_path_replay
Replay a session. It is categorised as a Execute tool in the Nodebench MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Nodebench MCP server in PolicyLayer and add a rule for get_path_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 Nodebench. Nothing to install.
get_path_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 get_path_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 get_path_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.
get_path_replay is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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