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Create Sequence

meisa_create_sequence

Create a new email automation sequence in Meisa in draft status. A sequence is a multi-step drip campaign that contacts are enrolled in over time. This creates the sequence container in draft. Add the drip steps with meisa_add_sequence_step (email -> delay -> email ...), then activate it with meisa_activate_sequence. Returns the created sequence with its auto-generated slug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the sequence (e.g. 'New User Onboarding', 'Trial Conversion').
sender_idNoUUID of the sender identity for all emails in this sequence. Uses product default if omitted.
descriptionNoInternal description of what this sequence does.
entry_triggerNoHow contacts enter this sequence. 'api' means enrollment via the meisa_enroll_in_sequence tool. 'tag_added' means automatically when a tag is added. Defaults to 'api'.api
email_categoryNoSubscription category, so recipients can unsubscribe from this kind of email and keep the rest: 'onboarding' (tips and onboarding), 'product_updates', 'promotions' (offers and discounts), 'newsletter'. Empty string = automatic: the template's category decides (promotional -> promotions, announcement -> product_updates, newsletter -> newsletter), otherwise sequences and triggers use 'onboarding' and broadcasts use 'product_updates'. Ignored on triggers with override_unsubscribe (those are transactional and always send).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already establish non-read-only, non-destructive, non-idempotent behavior. The description adds lifecycle context the annotations cannot convey: the sequence is created in draft status and stays inert until activation, and it returns an auto-generated slug. It stops short of warning about duplicate creation on retry, which the idempotentHint=false would make valuable.

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?

Four short sentences, front-loaded with the action and status, then the concept, then the workflow, then the return value. Nothing is redundant with the title and every sentence carries information.

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

Completeness4/5

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

With no output schema, the description does note the return value (the created sequence with its slug) and the draft lifecycle, and the workflow pointers cover the multi-tool procedure. It omits any failure modes or validation constraints, a minor gap for a five-parameter create tool.

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 name, sender_id, description, entry_trigger and email_category are all documented in the schema itself, including enum semantics. The description adds no parameter-level detail beyond the concept of enrollment, so the baseline 3 applies.

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?

States a specific verb+resource ('Create a new email automation sequence') and defines what a sequence is ('multi-step drip campaign that contacts are enrolled in over time'), which disambiguates it from step-level and activation siblings. An agent can distinguish this container-creation tool from meisa_add_sequence_step and meisa_activate_sequence without opening any schema.

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

Usage Guidelines4/5

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

Explicitly lays out the workflow order — create the container, add drip steps with meisa_add_sequence_step, then activate with meisa_activate_sequence — which is exactly the sequencing guidance an agent needs. It does not, however, address when to choose a sequence over the sibling trigger-creation path, nor state any exclusions.

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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