retention_register_connection
Register a retention.sh team connection in local MCP state so QA findings and token savings can flow into founder packets.
This record as markdown: /tools/io-github-homenshum-nodebench/retention-register-connection.md
What retention_register_connection does on Nodebench
AI agents use retention_register_connection 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 retention_register_connection is rated Medium
This tool modifies local MCP state by registering a connection, which is a reversible write operation. While it doesn't directly execute external commands or delete data, it creates a persistent configuration that couples the MCP system to an external service (retention.sh) and enables data flow into 'founder packets.' The medium severity reflects that misconfiguration could route sensitive quality assurance or…
From the tool's definition 'Register a retention.sh team connection in local MCP state' indicates persistent state modification. The tool creates or stores a connection configuration that affects downstream systems ('QA findings and token savings can flow into founder packets').
Attacks that exploit this kind of access
The rule that runs retention_register_connection 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 retention_register_connection, this is the rule to start with:
retention_register_connection 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 retention_register_connection call is checked against it from then on.
Questions about retention_register_connection
Register a retention.sh team connection in local MCP state so QA findings and token savings can flow into founder packets. 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 retention_register_connection: 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.
retention_register_connection 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 retention_register_connection 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 retention_register_connection. 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.
retention_register_connection 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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