enrich_linkedin
Enrich a public LinkedIn profile (headline, current company, experience snapshot) given the vanity slug (the part after /in/). Use for B2B lead enrichment when you only have a LinkedIn URL. Example call: {"slug": "satyanadella"} Cost: $0.005–$0.05 USDC on Base per call.
This record as markdown: /tools/io-github-colinhughes2121-gocreative-agent-api/enrich-linkedin.md
What enrich_linkedin does on GoCreative Agent API
AI agents call enrich_linkedin to retrieve information from GoCreative Agent API without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
slug | string | Yes |
Parameters from the server's own tool schema.
Why enrich_linkedin is rated Low
This tool queries publicly available LinkedIn profile information and returns enriched data without side effects. It is a lookup/retrieval operation typical of Read category tools. While it involves external data enrichment, the operation itself is non-mutative and poses minimal risk if misused—the worst case being unnecessary API cost for excessive lookups on public data.
From the tool's definition Tool 'enrich_linkedin' retrieves public profile data (headline, current company, experience snapshot) from LinkedIn given a vanity slug.
Attacks that exploit this kind of access
The rule that runs enrich_linkedin safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GoCreative Agent API, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For enrich_linkedin, this is the rule to start with:
enrich_linkedin 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 GoCreative Agent API, apply this rule, and every enrich_linkedin call is checked against it from then on.
Questions about enrich_linkedin
Enrich a public LinkedIn profile (headline, current company, experience snapshot) given the vanity slug (the part after /in/). Use for B2B lead enrichment when you only have a LinkedIn URL. Example call: {"slug": "satyanadella"} Cost: $0.005–$0.05 USDC on Base per call. It is categorised as a Read tool in the GoCreative Agent API MCP Server, which means it retrieves data without modifying state.
enrich_linkedin accepts 1 parameter: slug. Required: slug. The full parameter table on this page comes from the server's own tool schema.
Register the GoCreative Agent API MCP server in PolicyLayer and add a rule for enrich_linkedin: 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 GoCreative Agent API. Nothing to install.
enrich_linkedin 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 enrich_linkedin 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 enrich_linkedin. 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.
enrich_linkedin is provided by the GoCreative Agent API MCP server (https://api.gocreativeai.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on GoCreative Agent API, and thousands of servers like it.
This server
Across the catalogue