enrich_entity

Enrich an entity (company, person, theme, market) with structured intelligence.

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/enrich-entity.md

What enrich_entity does on Nodebench

AI agents call enrich_entity 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 enrich_entity is rated Low

The term 'enrich' typically means to supplement or augment existing data with additional information. This is fundamentally a Read operation that retrieves and structures intelligence about entities (companies, persons, themes, markets) from available sources. While enrichment could involve external API calls or data aggregation, no write, delete, execute, or financial operation occurs.

From the tool's definition Tool description states 'Enrich an entity...with structured intelligence' — a retrieval and aggregation operation that adds context by querying external data sources without modifying the underlying entity itself.

Questions about enrich_entity

What does the enrich_entity tool do? +

Enrich an entity (company, person, theme, market) with structured intelligence. 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 enrich_entity? +

Register the Nodebench MCP server in PolicyLayer and add a rule for enrich_entity: 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 enrich_entity? +

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

Can I rate-limit enrich_entity? +

Yes. Add a rate_limit block to the enrich_entity 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 enrich_entity completely? +

Set action: deny in the PolicyLayer policy for enrich_entity. 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 enrich_entity? +

enrich_entity 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.

More on Nodebench, and thousands of servers like it.

Across the catalogue

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Nodebench's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.