start_dogfood_session
Start a new dogfood session for one of the 3 canonical loops (weekly_reset, pre_delegation, company_search). Returns sessionId for subsequent recording.
This record as markdown: /tools/io-github-homenshum-nodebench/start-dogfood-session.md
What start_dogfood_session does on Nodebench
AI agents invoke start_dogfood_session 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 start_dogfood_session is rated High
This tool initiates an external process or workflow ('start a new dogfood session') and returns an identifier for continued interaction. The effects depend on the argument (which loop), making it an Execute category tool rather than a simple Read. It is not Destructive (no irreversible deletion), Write (not just data creation/modification in a reversible sense), or Financial.
From the tool's definition The tool 'starts' a session and 'returns sessionId for subsequent recording', indicating it triggers a workflow or process with side effects that depend on which of the 3 loops is selected (weekly_reset, pre_delegation, company_search).
Attacks that exploit this kind of access
The rule that runs start_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 start_dogfood_session, this is the rule to start with:
start_dogfood_session 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 start_dogfood_session call is checked against it from then on.
Questions about start_dogfood_session
Start a new dogfood session for one of the 3 canonical loops (weekly_reset, pre_delegation, company_search). Returns sessionId for subsequent recording. 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 start_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.
start_dogfood_session 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 start_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 start_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.
start_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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