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olgasafonova

productplan-mcp-server

by olgasafonova

list_all_customers

Read-only

Retrieve a complete list of customers across ideas, including linked idea counts, to identify feedback sources and customer impact.

Instructions

List all customers across ideas. Returns customer names and linked idea counts.

USE WHEN: "Who are our customers?", "All feedback sources" FAILS WHEN: API token invalid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe ProductPlan payload (object or array) returned by the API, passed through verbatim
summaryYesHuman-readable summary of the result (e.g. "Found 3 roadmaps")

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv6.0.0
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "data": {
      +      "description": "The ProductPlan payload (object or array) returned by the API, passed through verbatim",
      +      "type": "object"
      +    },
      +    "summary": {
      +      "description": "Human-readable summary of the result (e.g. \"Found 3 roadmaps\")",
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "summary",
      +    "data"
      +  ],
      +  "type": "object"
      +}
  2. First observedv5.0.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already mark it read-only, and the description adds useful behavioral context: it returns customer names and linked idea counts, and it fails when the API token is invalid. This goes beyond the annotation-provided safety profile without contradicting it.

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 is concise and front-loaded with purpose, then uses compact USE WHEN / FAILS WHEN lines for additional guidance. Every sentence contributes value with no redundancy.

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?

For a zero-parameter, read-only list operation with an output schema, the description covers purpose, usage context, return content, and a failure condition. Nothing needed to invoke the tool correctly is missing.

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 has zero parameters, so the description has no parameter documentation burden. Baseline 4 is appropriate since there is nothing for the schema or description to clarify.

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 all customers') plus the scope ('across ideas') and what is returned. This clearly differentiates it from sibling list tools like list_users and list_teams.

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?

Provides explicit USE WHEN cues ('Who are our customers?', 'All feedback sources') that help an agent decide when to select it. It does not name specific alternatives or exclusion conditions, but the context is clear enough that this is not a gap.

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