pull_profile
Pull the current company profile and saved context from NodeBench AI into Claude Code. Returns the latest shared-context packets, saved reports, and entity data for a company.
This record as markdown: /tools/io-github-homenshum-nodebench/pull-profile.md
What pull_profile does on Nodebench
AI agents call pull_profile to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why pull_profile is rated Low
This tool retrieves and queries existing data (company profile, context packets, reports, entity data) without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal security risk unless the retrieved data itself is sensitive, but the tool's function is non-destructive information retrieval.
From the tool's definition Tool description states it 'Pull the current company profile and saved context' and 'Returns the latest shared-context packets, saved reports, and entity data'.
Attacks that exploit this kind of access
The rule that runs pull_profile 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 pull_profile, this is the rule to start with:
pull_profile is read-only, so it stays allowed. 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 pull_profile call is checked against it from then on.
Questions about pull_profile
Pull the current company profile and saved context from NodeBench AI into Claude Code. Returns the latest shared-context packets, saved reports, and entity data for a company. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.
Register the Nodebench MCP server in PolicyLayer and add a rule for pull_profile: 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.
pull_profile is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the pull_profile 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 pull_profile. 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.
pull_profile 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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