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leads_get_labels

Retrieve all lead labels (tags/categories) with UUIDs, names, and colors to categorize and organize leads in Pipedrive CRM.

Instructions

Get all lead labels (tags/categories).

Returns details of all lead labels available in your Pipedrive account. Lead labels are used to categorize and organize leads.

Workflow tips:

  • This endpoint does not support pagination (all labels returned)

  • Labels have UUIDs as identifiers

  • Use label UUIDs when creating/updating leads

  • Labels have name and color properties

  • Results are heavily cached (24 hours) as labels change infrequently

Common use cases:

  • List all labels: {}

  • Get label IDs for lead creation

  • Display available labels to users

Response format:

  • Returns array of label objects with: id (UUID), name, color, add_time, update_time

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description fully discloses behavior: returns array of label objects, no pagination, heavy caching (24 hours). It does not mention authentication, but as a read-only operation, this is acceptable.

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 well-structured with a clear summary, workflow tips, common use cases, and response format. Every sentence adds value, and it is appropriately sized without being verbose.

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?

Given no annotations, no output schema, and no parameters, the description fully covers the tool's behavior, use cases, and response format. It is complete for the tool's simplicity.

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?

There are no parameters, so the schema coverage is 100%. The description does not need to add parameter details. Baseline for 0 parameters is 4.

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?

The description clearly states 'Get all lead labels (tags/categories)' and explains the resource and its purpose. It distinguishes itself from sibling tools like leads_list by focusing specifically on labels, not leads.

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?

The description provides workflow tips (no pagination, caching, use of UUIDs) and lists common use cases. While it doesn't explicitly say when not to use, the context is clear and there are no alternative tools for labels.

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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