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.

SERVERNodebench SOURCEnodebench-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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'.

Questions about pull_profile

What does the pull_profile tool do? +

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.

How do I enforce a policy on pull_profile? +

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.

What risk level is pull_profile? +

pull_profile is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit pull_profile? +

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.

How do I block pull_profile completely? +

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.

What MCP server provides pull_profile? +

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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