list_referral_candidates

Step 1 of recommending LMCP to a colleague. Returns the user's emailable contacts plus a playful invite template. Use this when the user wants to invite/recommend someone. Then: show a few candidates, let the user PICK (never email everyone), call create_referral_invites for the chosen ones to ge...

SERVERLocal SOURCElocal-mcp
Low RISK CLASS
Category Read
Parameters 10 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-local-mcp-local-mcp/list-referral-candidates.md

What list_referral_candidates does on Local

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

ParameterTypeRequiredDescription
limit integer Max contacts to return (default 60)

Parameters from the server's own tool schema.

Why list_referral_candidates is rated Low

The tool queries and returns existing contact information and a template. It performs no creation, modification, deletion, or execution of operations. The actual sending of emails is deferred to send_email and requires explicit user approval per recipient. This is a pure read operation that retrieves and presents data to enable user decision-making.

From the tool's definition Tool 'Returns the user's emailable contacts plus a playful invite template' and 'show a few candidates' — explicitly retrieves and displays contact data with no modification or side effects.

Questions about list_referral_candidates

What does the list_referral_candidates tool do? +

Step 1 of recommending LMCP to a colleague. Returns the user's emailable contacts plus a playful invite template. Use this when the user wants to invite/recommend someone. Then: show a few candidates, let the user PICK (never email everyone), call create_referral_invites for the chosen ones to get each person's unique link, draft a short personalized message IN THE USER'S LANGUAGE (keep the warm-but-sarcastic tone, adapt per person), show it for EDITS, then send with send_email (one per recipient — send_email asks the user to confirm). Never send without the user picking + approving. It is categorised as a Read tool in the Local MCP Server, which means it retrieves data without modifying state.

What parameters does list_referral_candidates accept? +

list_referral_candidates accepts 1 parameter: limit. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on list_referral_candidates? +

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

What risk level is list_referral_candidates? +

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

Can I rate-limit list_referral_candidates? +

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

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

list_referral_candidates is provided by the Local MCP server (local-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Local, and thousands of servers like it.

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