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byndcloud

Unofficial Dex CRM MCP Server

by byndcloud

dex_create_custom_field

Add custom fields to contacts in Dex CRM to store specialized information beyond standard contact details.

Instructions

Create a new custom field definition that can be set on any contact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
custom_fieldYes

Implementation Reference

  • The handler logic and registration for dex_create_custom_field tool.
    server.tool(
      "dex_create_custom_field",
      "Create a new custom field definition that can be set on any contact.",
      {
        custom_field: z.object({
          name: z.string(),
          type: z.string().optional(),
        }),
      },
      async (args) => {
        try {
          const result = await dex.post("/v1/custom-fields/", {
            custom_field: args.custom_field,
          });
          return toResult(result);
        } catch (error) {
          return toError(error);
        }
      }
    );
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It states the tool creates something, implying a mutation, but doesn't disclose permissions needed, whether the operation is idempotent, rate limits, or what happens on success/failure. This is inadequate for a mutation tool with zero annotation coverage.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded with the core action.

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?

For a mutation tool with no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It lacks details on behavioral traits, parameter meanings, expected outcomes, or error handling, leaving significant gaps for an AI agent to use it correctly.

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 description adds no parameter-specific information beyond what the schema provides. With 0% schema description coverage and 1 parameter (a nested object with properties), the baseline is 3 since the schema documents the structure but not the semantics. The description doesn't compensate by explaining what 'name' or 'type' represent or provide examples.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create') and resource ('new custom field definition'), specifying it can be set on any contact. It distinguishes from siblings like dex_update_custom_field or dex_delete_custom_field by focusing on creation, but doesn't explicitly differentiate from other creation tools like dex_create_contact or dex_create_group.

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. It doesn't mention prerequisites, when not to use it, or compare with similar tools like dex_update_custom_field for modifications or dex_list_custom_fields for viewing existing fields.

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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