research_person

Deep research on a person: professional profile, communication preferences, intro paths, recent activity. Orchestrates 3+ API calls.

SERVERAdrata SOURCE@adrata/adrata-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/adrata-adrata-mcp/research-person.md

WHAT IT DOES

What research_person does on Adrata

AI agents call research_person to retrieve information from Adrata without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why research_person is rated Low

Even though research_person only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs research_person safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Adrata, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For research_person, this is the rule to start with:

research_person Allowed

research_person is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "research_person": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Adrata, apply this rule, and every research_person call is checked against it from then on.

FAQ

Questions about research_person

What does the research_person tool do? +

Deep research on a person: professional profile, communication preferences, intro paths, recent activity. Orchestrates 3+ API calls. It is categorised as a Read tool in the Adrata MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on research_person? +

Register the Adrata MCP server in PolicyLayer and add a rule for research_person: 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 Adrata. Nothing to install.

What risk level is research_person? +

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

Can I rate-limit research_person? +

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

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

research_person is provided by the Adrata MCP server (@adrata/adrata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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