Duyet MCP Server

Hire Me

hire_me

Hire Duyet for full-time, contract, consulting, or part-time roles by providing role type, tech stack, and company details to match expertise and experience.

Instructions

Get information about hiring Duyet for various roles - full-time, contract, consulting, or part-time positions. Includes expertise, experience, and next steps

Input Schema

TableJSON Schema

Name	Required	Description
`role_type`	No	Type of engagement you're interested in
`tech_stack`	No	Technologies/tools your project uses
`company_size`	No	Company size/type
`contact_email`	No	Optional: Your email for follow-up
`additional_notes`	No	Optional: Additional notes or specific requirements (max 500 characters)

Implementation Reference

src/tools/hire-me.ts:38-221 (handler)

Core execution logic of the 'hire_me' tool: handles inputs, rate limits submissions, generates personalized hiring information based on role/tech/company, saves inquiries to database, returns formatted text response with expertise details.

		async ({ role_type, tech_stack, company_size, contact_email, additional_notes }) => {
			// Check rate limiting if user is submitting data (not just browsing)
			if (contact_email || additional_notes || role_type || tech_stack || company_size) {
				const rateLimitCheck = await checkRateLimit(db, contact_email, "hire_me");
				if (!rateLimitCheck.allowed) {
					return {
						content: [
							{
								type: "text",
								text: `Rate Limit Exceeded

${rateLimitCheck.reason}

${rateLimitCheck.retryAfter ? `You can try again in ${Math.ceil(rateLimitCheck.retryAfter / 60)} minutes.` : ""}

Alternative: Email me directly at me@duyet.net with your hiring inquiry.`,
							},
						],
						isError: true,
					};
				}
			}

			const currentYear = new Date().getFullYear();
			const experience = currentYear - 2017;

			let roleSpecificInfo = "";

			if (role_type) {
				const roleInfo = {
					full_time: {
						title: "Full-time Position",
						details:
							"Open to senior/lead data engineering roles with remote flexibility. Prefer companies with strong engineering culture and growth opportunities.",
					},
					contract: {
						title: "Contract Work",
						details:
							"Available for 3-6 month contracts. Specializing in data platform modernization, ClickHouse implementations, and cloud migrations.",
					},
					consulting: {
						title: "Consulting Services",
						details:
							"Strategic consulting for data architecture, technology selection, and team building. Ideal for scaling data infrastructure.",
					},
					part_time: {
						title: "Part-time Engagement",
						details:
							"Limited availability for part-time roles. Best suited for advisory positions or specialized technical contributions.",
					},
				};

				const info = roleInfo[role_type as keyof typeof roleInfo];
				roleSpecificInfo = `\n${info.title}: ${info.details}\n`;
			}

			let techStackMatch = "";
			if (tech_stack) {
				const preferredTech = [
					"clickhouse",
					"kafka",
					"kubernetes",
					"rust",
					"python",
					"typescript",
					"llms",
					"ai agents",
				];
				const matchingTech = preferredTech.filter((tech) =>
					tech_stack.toLowerCase().includes(tech),
				);

				if (matchingTech.length > 0) {
					techStackMatch = `\nTech match: Your stack includes ${matchingTech.join(", ")} - technologies I have deep experience with.\n`;
				} else {
					techStackMatch = `\nTech stack: ${tech_stack}\nI can evaluate fit based on my experience with similar technologies.\n`;
				}
			}

			let companySizeInfo = "";
			if (company_size) {
				const sizePreferences = {
					startup:
						"Perfect! I enjoy the fast-paced environment and building data foundations from scratch.",
					scale_up:
						"Excellent fit! I have strong experience scaling data systems and building robust infrastructure.",
					enterprise:
						"Open to the right opportunity, especially roles involving modernization and innovation.",
					agency: "Interested in project-based work and bringing data expertise to diverse client challenges.",
				};
				companySizeInfo = `\n${sizePreferences[company_size as keyof typeof sizePreferences]}\n`;
			}

			// Save hire inquiry to database if any optional data is provided
			let referenceId: string | undefined;
			if (contact_email || additional_notes || role_type || tech_stack || company_size) {
				referenceId = crypto.randomUUID();
				const ip_address = "unknown";
				const user_agent = "MCP Client";

				// Create a message from the provided information
				const messageParts = [];
				if (role_type) messageParts.push(`Role Type: ${role_type}`);
				if (tech_stack) messageParts.push(`Tech Stack: ${tech_stack}`);
				if (company_size) messageParts.push(`Company Size: ${company_size}`);
				if (additional_notes) messageParts.push(`Notes: ${additional_notes}`);

				const message =
					messageParts.length > 0
						? `Hire Me Inquiry - ${messageParts.join(", ")}`
						: "Hire Me Inquiry";

				try {
					await db.insert(contacts).values({
						message,
						contactEmail: contact_email,
						purpose: "hire_me",
						roleType: role_type,
						techStack: tech_stack,
						companySize: company_size,
						ipAddress: ip_address,
						userAgent: user_agent,
						referenceId,
					});
				} catch (_e: any) {
					// Continue execution even if DB save fails, but don't expose the reference ID
					referenceId = undefined;
				}
			}

			return {
				content: [
					{
						type: "text",
						text: `Hire Duyet - Senior Data Engineer

Experience: ${experience}+ years in Data Engineering
Specialization: Data Platform Architecture, Real-time Analytics, Cloud Infrastructure
Location: Remote-first, open to global opportunities

${roleSpecificInfo}${techStackMatch}${companySizeInfo}

Core Expertise:
- Data Platforms: ClickHouse, Airflow
- Languages: Rust, Python, TypeScript, SQL
- Infrastructure: Kubernetes, Docker, Terraform
- Databases: ClickHouse, PostgreSQL, Redis, DuckDB, etc.

What I Bring:
- Design and implement scalable data architectures
- Modernize legacy data systems
- Build real-time analytics pipelines  
- Optimize query performance and costs
- Mentor data engineering teams
- Strong DevOps and infrastructure background

Recent Achievements:
- Built data platforms handling billions of events daily
- Reduced query times by 90% through ClickHouse optimization
- Led teams in migrating from legacy to modern data stack
- Open source contributor with 1000+ GitHub stars

Next Steps:
1. Review: Check my CV at https://duyet.net/cv
2. Portfolio: Explore projects at https://github.com/duyet  
3. Contact: Email me@duyet.net with:
   - Role details and requirements
   - Company info and team structure
   - Technical challenges you're facing
   - Timeline and budget expectations

Ideal Opportunities:
- Data Platform Architect
- Data Platform Engineer
- AI Agent Engineer
- Remote-first companies with strong engineering culture

Ready to discuss how I can help solve your data challenges.

${referenceId ? `\n---\nInquiry Reference ID: ${referenceId}\nYour hiring inquiry has been saved for follow-up.` : ""}`,
					},
				],
			};
		},

src/tools/hire-me.ts:28-36 (schema)

MCP tool input schema defining optional parameters for hire inquiries: role_type (enum), tech_stack, company_size (enum), contact_email, additional_notes.

inputSchema: {
	role_type: roleTypeSchema.describe("Type of engagement you're interested in"),
	tech_stack: techStackSchema.describe("Technologies/tools your project uses"),
	company_size: companySizeSchema.describe("Company size/type"),
	contact_email: contactEmailSchema.describe("Optional: Your email for follow-up"),
	additional_notes: additionalNotesSchema.describe(
		"Optional: Additional notes or specific requirements (max 500 characters)",
	),
},

src/tools/hire-me.ts:20-223 (registration)

Function to register the 'hire_me' MCP tool with server, including tool name, metadata, schema, and handler. Initializes DB connection.

export function registerHireMeTool(server: McpServer, env: Env) {
	const db = getDb(env.DB);
	server.registerTool(
		"hire_me",
		{
			title: "Hire Me",
			description:
				"Get information about hiring Duyet for various roles - full-time, contract, consulting, or part-time positions. Includes expertise, experience, and next steps",
			inputSchema: {
				role_type: roleTypeSchema.describe("Type of engagement you're interested in"),
				tech_stack: techStackSchema.describe("Technologies/tools your project uses"),
				company_size: companySizeSchema.describe("Company size/type"),
				contact_email: contactEmailSchema.describe("Optional: Your email for follow-up"),
				additional_notes: additionalNotesSchema.describe(
					"Optional: Additional notes or specific requirements (max 500 characters)",
				),
			},
		},
		async ({ role_type, tech_stack, company_size, contact_email, additional_notes }) => {
			// Check rate limiting if user is submitting data (not just browsing)
			if (contact_email || additional_notes || role_type || tech_stack || company_size) {
				const rateLimitCheck = await checkRateLimit(db, contact_email, "hire_me");
				if (!rateLimitCheck.allowed) {
					return {
						content: [
							{
								type: "text",
								text: `Rate Limit Exceeded

${rateLimitCheck.reason}

${rateLimitCheck.retryAfter ? `You can try again in ${Math.ceil(rateLimitCheck.retryAfter / 60)} minutes.` : ""}

Alternative: Email me directly at me@duyet.net with your hiring inquiry.`,
							},
						],
						isError: true,
					};
				}
			}

			const currentYear = new Date().getFullYear();
			const experience = currentYear - 2017;

			let roleSpecificInfo = "";

			if (role_type) {
				const roleInfo = {
					full_time: {
						title: "Full-time Position",
						details:
							"Open to senior/lead data engineering roles with remote flexibility. Prefer companies with strong engineering culture and growth opportunities.",
					},
					contract: {
						title: "Contract Work",
						details:
							"Available for 3-6 month contracts. Specializing in data platform modernization, ClickHouse implementations, and cloud migrations.",
					},
					consulting: {
						title: "Consulting Services",
						details:
							"Strategic consulting for data architecture, technology selection, and team building. Ideal for scaling data infrastructure.",
					},
					part_time: {
						title: "Part-time Engagement",
						details:
							"Limited availability for part-time roles. Best suited for advisory positions or specialized technical contributions.",
					},
				};

				const info = roleInfo[role_type as keyof typeof roleInfo];
				roleSpecificInfo = `\n${info.title}: ${info.details}\n`;
			}

			let techStackMatch = "";
			if (tech_stack) {
				const preferredTech = [
					"clickhouse",
					"kafka",
					"kubernetes",
					"rust",
					"python",
					"typescript",
					"llms",
					"ai agents",
				];
				const matchingTech = preferredTech.filter((tech) =>
					tech_stack.toLowerCase().includes(tech),
				);

				if (matchingTech.length > 0) {
					techStackMatch = `\nTech match: Your stack includes ${matchingTech.join(", ")} - technologies I have deep experience with.\n`;
				} else {
					techStackMatch = `\nTech stack: ${tech_stack}\nI can evaluate fit based on my experience with similar technologies.\n`;
				}
			}

			let companySizeInfo = "";
			if (company_size) {
				const sizePreferences = {
					startup:
						"Perfect! I enjoy the fast-paced environment and building data foundations from scratch.",
					scale_up:
						"Excellent fit! I have strong experience scaling data systems and building robust infrastructure.",
					enterprise:
						"Open to the right opportunity, especially roles involving modernization and innovation.",
					agency: "Interested in project-based work and bringing data expertise to diverse client challenges.",
				};
				companySizeInfo = `\n${sizePreferences[company_size as keyof typeof sizePreferences]}\n`;
			}

			// Save hire inquiry to database if any optional data is provided
			let referenceId: string | undefined;
			if (contact_email || additional_notes || role_type || tech_stack || company_size) {
				referenceId = crypto.randomUUID();
				const ip_address = "unknown";
				const user_agent = "MCP Client";

				// Create a message from the provided information
				const messageParts = [];
				if (role_type) messageParts.push(`Role Type: ${role_type}`);
				if (tech_stack) messageParts.push(`Tech Stack: ${tech_stack}`);
				if (company_size) messageParts.push(`Company Size: ${company_size}`);
				if (additional_notes) messageParts.push(`Notes: ${additional_notes}`);

				const message =
					messageParts.length > 0
						? `Hire Me Inquiry - ${messageParts.join(", ")}`
						: "Hire Me Inquiry";

				try {
					await db.insert(contacts).values({
						message,
						contactEmail: contact_email,
						purpose: "hire_me",
						roleType: role_type,
						techStack: tech_stack,
						companySize: company_size,
						ipAddress: ip_address,
						userAgent: user_agent,
						referenceId,
					});
				} catch (_e: any) {
					// Continue execution even if DB save fails, but don't expose the reference ID
					referenceId = undefined;
				}
			}

			return {
				content: [
					{
						type: "text",
						text: `Hire Duyet - Senior Data Engineer

Experience: ${experience}+ years in Data Engineering
Specialization: Data Platform Architecture, Real-time Analytics, Cloud Infrastructure
Location: Remote-first, open to global opportunities

${roleSpecificInfo}${techStackMatch}${companySizeInfo}

Core Expertise:
- Data Platforms: ClickHouse, Airflow
- Languages: Rust, Python, TypeScript, SQL
- Infrastructure: Kubernetes, Docker, Terraform
- Databases: ClickHouse, PostgreSQL, Redis, DuckDB, etc.

What I Bring:
- Design and implement scalable data architectures
- Modernize legacy data systems
- Build real-time analytics pipelines  
- Optimize query performance and costs
- Mentor data engineering teams
- Strong DevOps and infrastructure background

Recent Achievements:
- Built data platforms handling billions of events daily
- Reduced query times by 90% through ClickHouse optimization
- Led teams in migrating from legacy to modern data stack
- Open source contributor with 1000+ GitHub stars

Next Steps:
1. Review: Check my CV at https://duyet.net/cv
2. Portfolio: Explore projects at https://github.com/duyet  
3. Contact: Email me@duyet.net with:
   - Role details and requirements
   - Company info and team structure
   - Technical challenges you're facing
   - Timeline and budget expectations

Ideal Opportunities:
- Data Platform Architect
- Data Platform Engineer
- AI Agent Engineer
- Remote-first companies with strong engineering culture

Ready to discuss how I can help solve your data challenges.

${referenceId ? `\n---\nInquiry Reference ID: ${referenceId}\nYour hiring inquiry has been saved for follow-up.` : ""}`,
					},
				],
			};
		},
	);
}

src/tools/index.ts:41-42 (registration)
Invocation of hire_me tool registration within the overall tools registration function.
```
registerHireMeTool(server, env);
logger.tool("hire_me", "registered");
```

src/database/schema.ts:14-21 (schema)

Database table schema (contacts) with purpose enum including 'hire_me' and matching fields for storing tool inputs.

// Additional fields for hire_me entries
roleType: text("role_type", {
	enum: ["full_time", "contract", "consulting", "part_time"],
}),
techStack: text("tech_stack"),
companySize: text("company_size", {
	enum: ["startup", "scale_up", "enterprise", "agency"],
}),

Tool Definition Quality

C2.9/5.0

Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'Includes expertise, experience, and next steps' which hints at output content, but lacks details on behavioral traits like response format, data sensitivity, rate limits, or authentication needs. For a tool with personal hiring information and optional contact details, this gap is significant.

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

Conciseness4/5

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

The description is appropriately sized with two sentences that efficiently convey purpose and scope. It's front-loaded with the main action and includes relevant details without redundancy. Every sentence adds value, though minor improvements in structure could enhance clarity.

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

Completeness3/5

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

Given no annotations and no output schema, the description is moderately complete but has gaps. It covers the tool's purpose and hints at output content, but lacks details on behavioral aspects and return values. For a tool with personal data and multiple parameters, more context on usage and results would improve completeness.

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

Parameters3/5

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

Schema description coverage is 100%, providing baseline documentation for all 5 parameters. The description adds no additional parameter semantics beyond what's in the schema (e.g., no examples or edge cases). With high schema coverage, a score of 3 is appropriate as the description doesn't compensate but doesn't need to heavily.

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

Purpose4/5

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

The description clearly states the tool's purpose: 'Get information about hiring Duyet for various roles' with specific role types listed. It distinguishes itself from siblings like 'get_analytics' or 'send_message' by focusing on hiring information, though it doesn't explicitly contrast with them. The verb 'Get information' is specific and the resource 'hiring Duyet' is well-defined.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description implies usage for hiring-related queries but doesn't specify prerequisites, exclusions, or compare it to other tools like 'say_hi' or 'send_message' that might handle communication. Without explicit when/when-not instructions, users must infer context.

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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