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List Sequences

meisa_list_sequences
Read-onlyIdempotent

List automation sequences (drip campaigns) in the connected Meisa product. Returns each sequence's name, slug, status, entry trigger, step count, enrollment stats, and completion rate. Use this when the user asks to see their automations or wants to enroll a contact. For the sequence's steps, use meisa_get_sequence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of sequences per page (max 100, default 20).
offsetNoPagination offset.
searchNoFilter by sequence name (case-insensitive substring match).
statusNoFilter sequences by status. Omit to return all statuses.

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 declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds useful context beyond annotations by listing exactly what each returned sequence contains, though it says nothing about pagination behavior or result totals.

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?

Three tight sentences, front-loaded with the resource and scope, then return fields, then usage and the sibling route. No filler sentences and nothing redundant.

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 usefully compensates by enumerating the returned fields, and pagination is fully covered by the schema. The only shortfall is that the enrollment use case is hinted at without naming the tool that performs it.

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%, with limit, offset, search and status all documented in the schema itself, so the baseline is 3. The description adds no syntax or format detail beyond what the schema provides (e.g., it never mentions the status filter values or substring matching).

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 and resource ('List automation sequences (drip campaigns)') and enumerates the returned fields (name, slug, status, entry trigger, step count, enrollment stats, completion rate). It explicitly distinguishes itself from the sibling meisa_get_sequence, which returns steps.

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?

Gives a clear when-to-use condition ('user asks to see their automations or wants to enroll a contact') and names one alternative, meisa_get_sequence, for step details. However, it mentions enrolling a contact without pointing to the actual action tool (meisa_enroll_in_sequence), leaving that routing implicit.

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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