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BusyBee3333

Keap MCP Server

by BusyBee3333

keap_list_custom_fields

Retrieve all custom fields for a specified entity type in Keap, such as Contact or Opportunity, to view available field configurations.

Instructions

List all custom fields for a given entity type

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_typeYesEntity type (Contact, Company, Opportunity, etc.)
Behavior1/5

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

No annotations are present, and the description does not disclose behavioral traits such as authentication needs, read-only status, pagination, or data volume. The agent cannot infer safety or performance characteristics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but lacks structure. It omits critical information such as return format or usage notes, making it under-specified rather than efficiently concise.

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

Completeness2/5

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

With no output schema, the description should explain what the tool returns, but it does not. It also lacks details on pagination or filters. The description is incomplete for a tool that lists potentially many custom fields.

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?

The input schema has 100% description coverage for the single parameter. The description does not add meaning beyond the schema's 'Entity type (Contact, Company, Opportunity, etc.)', earning the baseline score of 3.

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 'List all custom fields for a given entity type,' which specifies the action (list) and resource (custom fields). It distinguishes from sibling tools like keap_get_contact_custom_fields by clarifying the scope is per entity type, not per contact.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives (e.g., keap_get_contact_custom_fields for per-contact fields) or any prerequisites. The agent lacks context for proper tool selection.

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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