record_path_step
Record a navigation/exploration step in the user
This record as markdown: /tools/io-github-homenshum-nodebench/record-path-step.md
What record_path_step does on Nodebench
AI agents use record_path_step to create or update resources in Nodebench, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Nodebench environment.
Why record_path_step is rated Medium
The tool records (writes) a navigation or exploration step, creating a new data entry. This is a reversible write operation with medium severity since it stores user activity data. Confidence is moderate because the description is truncated and full scope is unclear.
From the tool's definition "Record a navigation/exploration step" — creates/writes a step record
Attacks that exploit this kind of access
The rule that runs record_path_step 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 record_path_step, this is the rule to start with:
record_path_step stays usable, but capped: an agent stuck in a loop can't make hundreds of changes 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 record_path_step call is checked against it from then on.
Questions about record_path_step
Record a navigation/exploration step in the user. It is categorised as a Write tool in the Nodebench MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Nodebench MCP server in PolicyLayer and add a rule for record_path_step: 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.
record_path_step is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the record_path_step 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 record_path_step. 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.
record_path_step 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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