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aithx

LocalPulse MCP

by aithx

generate_cold_email

Craft value-first cold emails for local service businesses. Provide trade, business name, and city; get personalized outreach without API keys.

Instructions

Generate a value-first cold email for a local service business. No API keys required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCity or metro area
tradeYesTrade niche: hvac, plumbing, electrical, pest_control, dental, auto_repair
owner_nameNoOwner or manager first name if known
business_nameYesTarget business name
specific_insightNoCustom opening line (e.g. from Google Maps research)
Behavior3/5

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

With no annotations provided, the description carries the full burden. It adds one useful behavioral detail ('No API keys required'), which helps set expectations about authentication. However, it does not disclose output format, whether external services are called, or other side effects, leaving gaps for an agent.

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

Conciseness5/5

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

The description is a single, concise sentence with no wasted words. It is front-loaded with the action ('Generate') and the core purpose, making it easy to parse quickly.

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 the moderate complexity (5 params, no output schema, no annotations), the description is minimal. It doesn't clarify what the output looks like or provide richer context about the generated email's structure, though 'Generate' implies the output is the email. Additional context about output format or personalization 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%, so the baseline is 3. The description does not add any parameter-level semantics beyond what the schema already provides, but it also doesn't need to since the schema fully documents each parameter.

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 generates a value-first cold email for local service businesses, using a specific verb and resource. While it doesn't explicitly distinguish from the sibling 'build_email_sequence', the singular 'cold email' implies a single email, providing implicit differentiation.

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

Usage Guidelines3/5

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

The description implies usage context (when you need a cold email for a local service business) but provides no explicit guidance on when to use this tool versus alternatives like build_email_sequence. There are no exclusions or comparisons to sibling tools.

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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