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CloudWaddie

OSINT MCP Server

email_permutator

Generate email address permutations for OSINT investigations by combining first names, last names, and domains to identify potential contact points.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
firstNameYesFirst name
lastNameYesLast name
domainYesDomain (e.g., example.com)

Implementation Reference

  • The tool handler function for email_permutator which calls the EmailOsintClient.
    async ({ firstName, lastName, domain }) => {
      const result = emailOsintClient.generatePermutations(firstName, lastName, domain);
      return {
        content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
      };
  • src/index.ts:524-530 (registration)
    Registration of the email_permutator tool with its schema definition.
    server.tool(
      "email_permutator",
      {
        firstName: z.string().describe("First name"),
        lastName: z.string().describe("Last name"),
        domain: z.string().describe("Domain (e.g., example.com)"),
      },
  • The core logic for generating email permutations in the EmailOsintClient.
    generatePermutations(firstName: string, lastName: string, domain: string): string[] {
      const fn = firstName.toLowerCase().trim();
      const ln = lastName.toLowerCase().trim();
      const fi = fn[0];
      const li = ln[0];
      const d = domain.toLowerCase().trim();
    
      const patterns = [
        `${fn}@${d}`,
        `${ln}@${d}`,
        `${fn}.${ln}@${d}`,
        `${fn}${ln}@${d}`,
        `${fi}${ln}@${d}`,
        `${fi}.${ln}@${d}`,
        `${fn}${li}@${d}`,
        `${fn}.${li}@${d}`,
        `${fi}${li}@${d}`,
        `${fi}.${li}@${d}`,
        `${ln}.${fn}@${d}`,
        `${ln}${fn}@${d}`,
        `${ln}${fi}@${d}`,
        `${ln}.${fi}@${d}`,
        `${fn}-${ln}@${d}`,
        `${fi}-${ln}@${d}`,
        `${fn}-${li}@${d}`,
        `${fi}-${li}@${d}`,
        `${fn}_${ln}@${d}`,
        `${fi}_${ln}@${d}`,
        `${fn}_${li}@${d}`,
        `${fi}_${li}@${d}`,
      ];
    
      return Array.from(new Set(patterns));
    }
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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