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ignytehq

plunk-mcp

Official
by ignytehq

List segments

plunk_list_segments
Read-onlyIdempotent

List saved audience segments with names, types, sizes, and IDs to find the right segment for a campaign or see which audiences exist and their sizes.

Instructions

Purpose: List saved audience segments with their names, types and current sizes.

Not for: The contacts inside a segment — that is plunk_list_segment_contacts. This returns the segments themselves.

Returns: All segments with ids, types, conditions and counts.

Use when: You need a segment id for a campaign, or the user asks what audiences exist and how big they are.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.0.0

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds value by disclosing the return contents (ids, types, conditions, counts) even though no output schema exists. It does not mention pagination or auth, so it falls just short of full disclosure.

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, bolded, front-loaded blocks with no filler; each sentence states purpose, exclusion, return shape, or trigger. Nothing is redundant with the name or title.

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

Completeness5/5

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

With no parameters, no output schema and safety fully covered by annotations, the description supplies exactly the missing pieces: the exclusion, the use triggers, and the shape of the returned records. An agent has everything needed to select and call it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the schema imposes no semantic burden. The description correctly describes the collection being listed and its fields, but there are no parameters to clarify beyond that.

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 (list) and resource (saved audience segments) and enumerates what is returned (names, types, sizes). It explicitly distinguishes itself from the closest sibling, plunk_list_segment_contacts, so an agent can route correctly without opening a schema.

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

Usage Guidelines5/5

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

Provides both a 'Not for' exclusion naming the alternative tool and a 'Use when' trigger (need a segment id for a campaign, or the user asks what audiences exist). Both when-to-use and when-not-to-use are explicit.

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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