register_shared_context_peer
Register a scoped peer with product, role, surface, capabilities, and heartbeat metadata for shared-context coordination.
This record as markdown: /tools/io-github-homenshum-nodebench/register-shared-context-peer.md
What register_shared_context_peer does on Nodebench
AI agents use register_shared_context_peer 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 register_shared_context_peer is rated Medium
This tool creates or modifies peer registration records in a shared-context coordination system. It is reversible (peers can be unregistered or re-registered), making it Write rather than Destructive. The moderate severity reflects potential for disrupting shared-context coordination if misused, but limited direct destructive impact.
From the tool's definition Tool description states 'Register a scoped peer' which indicates creation of a new peer entity with metadata (product, role, surface, capabilities, heartbeat). The verb 'register' implies data modification/creation rather than retrieval or deletion.
Attacks that exploit this kind of access
The rule that runs register_shared_context_peer 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 register_shared_context_peer, this is the rule to start with:
register_shared_context_peer 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 register_shared_context_peer call is checked against it from then on.
Questions about register_shared_context_peer
Register a scoped peer with product, role, surface, capabilities, and heartbeat metadata for shared-context coordination. 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 register_shared_context_peer: 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.
register_shared_context_peer 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 register_shared_context_peer 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 register_shared_context_peer. 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.
register_shared_context_peer 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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