Skip to main content
Glama
shashwatgtm

revenue-enablement-mcp

by shashwatgtm

email_sequence_generator

Generate targeted multi-touch email sequences for sales outreach based on persona, stage, and objective. Create prospecting, nurture, follow-up, and re-engagement emails.

Instructions

Generate multi-touch email sequences by persona, stage, and objective. Creates prospecting, nurture, follow-up, and re-engagement sequences.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sequence_typeYesType of email sequence
target_personaYesTarget persona (e.g., VP Sales, CTO, CFO)
target_industryNoTarget industry for context
your_solutionYesYour product/solution
key_value_propNoPrimary value proposition
specific_pain_pointNoSpecific pain point to address
social_proofNoCustomer names, stats, or proof points
call_to_actionNoDesired action (meeting, demo, reply)
num_emailsNoNumber of emails in sequence (3-7)
toneNoEmail tone
sender_contextNoContext about sender (role, shared connections, etc.)
Behavior2/5

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

With no annotations provided, the description must fully convey behavioral traits. It only states that the tool generates sequences and lists types, but does not disclose what the output includes (e.g., complete email body vs. subject lines only), any rate limits, or whether it requires specific input formats. This is insufficient for a tool with 11 parameters.

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 consists of two sentences that efficiently convey the tool's core purpose and output categories. Every word earns its place without extraneous details.

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 11 parameters, no output schema, and no annotations, the description is adequate but leaves gaps. It does not explain the return format (e.g., array of email objects) or how sequences are structured. A bit more detail would improve completeness for an AI agent.

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 baseline is 3. The description mentions persona, stage, and objective, aligning with parameters like target_persona and sequence_type, but does not add significant new meaning beyond what the schema already provides. It lacks clarification on how 'stage' maps to sequence_type.

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

Purpose5/5

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

The description clearly states the tool generates multi-touch email sequences and lists specific types (prospecting, nurture, follow-up, re-engagement). This effectively differentiates it from sibling tools like demo_script_builder or proposal_section_writer, which focus on different content.

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 for creating email sequences by mentioning persona, stage, and objective, and lists example sequence types. However, it provides no explicit guidance on when to use this tool versus alternatives, nor does it specify when not to use it.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/shashwatgtm/revenue-enablement-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server