ExD Accelerator MCP Server

create_offer_metadata_fieldgroup

Convert CSV column names into an XDM fieldgroup and attach it to the ExD decisioning schema. Preview first, then confirm execution.

Instructions

Create a new XDM fieldgroup from CSV column names and attach it to the ExD decisioning schema. Will check for an existing fieldgroup with the same name first. Requires confirmed: true to execute — previews first.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "csv_text": "<csv_text>"
    },
    "name": "create_offer_metadata_fieldgroup"
  }
}

Input Schema

Name	Required	Description	Default
`csv_text`	Yes	Full CSV text — column names become schema fields
`confirmed`	No	Set to true to execute. Leave false to preview only.
`access_token`	No	Bearer token — optional, server will auto-mint if missing
`fieldgroup_name`	No	Display name for the new fieldgroup	Offer Metadata - CSV Import

Schema Changelog

Changes observed during successful MCP inspections.

First observedv2.0.0Jul 9, 2026

TDQS

A3.9/5.0

Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses key behaviors: checking for existing fieldgroup with the same name (idempotency hint), requiring confirmation to execute (safety mechanism), and previewing first. This is good transparency for a mutation tool, though it does not describe failure modes or return values.

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 two sentences, front-loaded with the main purpose. Every sentence adds value: the first defines the action, the second covers safety and preview behavior. No wasted words.

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

Completeness3/5

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

The description explains the main flow and confirmation requirement, but does not describe the return value or error scenarios (e.g., what happens if a duplicate name is found?). For a tool with 4 parameters and no output schema, the description could be more complete, especially regarding expected outcomes.

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?

Schema description coverage is 100%, with each parameter having a clear description in the schema. The description adds minor context (e.g., 'column names become schema fields' for csv_text, 'preview first' for confirmed), but does not significantly enhance understanding beyond the schema. Baseline 3 is appropriate.

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 states a specific action ('Create a new XDM fieldgroup from CSV column names and attach it to the ExD decisioning schema'), clearly identifying the verb, resource, and context. It distinguishes itself from sibling tools like add_schema_field (which adds individual fields) and parse_csv_and_suggest (which only parses) by specifying the creation and attachment of a fieldgroup.

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

Usage Guidelines3/5

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

The description implies a preview-then-confirm workflow ('Requires confirmed: true to execute — previews first'), but it does not explicitly state when to use this tool versus alternatives (e.g., add_schema_field for individual fields, parse_csv_and_suggest for just parsing). No exclusion criteria or alternative tool names are mentioned.

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