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revenue-enablement-mcp

Email Sequence Generator

email_sequence_generator
Read-only

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toneNoEmail tone
num_emailsNoAccepted but not used yet: each sequence type has a fixed number of emails
social_proofNoCustomer names, stats, or proof points
sequence_typeYesType of email sequence. cold_outreach, warm_follow_up, post_demo and re_engagement have their own templates; the other types return a general outline
your_solutionYesYour product/solution
call_to_actionNoDesired action (meeting, demo, reply)
key_value_propNoPrimary value proposition
sender_contextNoContext about sender (role, shared connections, etc.)
target_personaYesTarget persona (e.g., VP Sales, CTO, CFO)
target_industryNoTarget industry for context
specific_pain_pointNoSpecific pain point to address

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds that sequences are multi-touch and categorizes them, but says nothing about what a generated sequence contains (subjects, bodies, timing) or that inputs like num_emails are ignored.

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?

Two short sentences, front-loaded with the core action. The second sentence largely restates sequence categories already present in the schema enum, a minor redundancy.

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?

With 11 parameters and no output schema, the description should at least indicate what a returned sequence looks like or how the sequence_type templates differ in output. It covers the input side adequately but leaves the return shape entirely unspecified.

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% and the enum values and the num_emails 'accepted but not used' caveat are already documented in the schema. The description adds no parameter meaning beyond that, so the baseline 3 applies.

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?

States a specific verb and resource ('Generate multi-touch email sequences') plus the driving dimensions (persona, stage, objective). It is clearly distinguishable from siblings like demo_script_builder or roi_business_case_builder, though it never names or contrasts a sibling directly.

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 when-to-use or when-not-to-use guidance, and no mention of alternatives among the many adjacent sales-content tools. The agent must infer usage purely from the purpose statement.

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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