end_dogfood_session
End a dogfood session with summary metrics: time-to-first-useful-output, delegation success, packet export status, and notes.
This record as markdown: /tools/io-github-homenshum-nodebench/end-dogfood-session.md
What end_dogfood_session does on Nodebench
AI agents use end_dogfood_session 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 end_dogfood_session is rated Medium
This tool finalizes/closes a session and records summary metrics. It writes/commits session data (metrics, notes, export status) but does not irreversibly delete data or execute arbitrary code. It's a state-transition write operation that concludes a session record.
From the tool's definition End a dogfood session with summary metrics: time-to-first-useful-output, delegation success, packet export status, and notes.
Attacks that exploit this kind of access
The rule that runs end_dogfood_session 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 end_dogfood_session, this is the rule to start with:
end_dogfood_session 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 end_dogfood_session call is checked against it from then on.
Questions about end_dogfood_session
End a dogfood session with summary metrics: time-to-first-useful-output, delegation success, packet export status, and notes. 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 end_dogfood_session: 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.
end_dogfood_session 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 end_dogfood_session 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 end_dogfood_session. 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.
end_dogfood_session 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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