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Add Custom Metadata Field

add_custom_metadata_field

Define a custom metadata column in the project schema by specifying its internal name, display label, and data type for later value assignment.

Instructions

Add a custom metadata field to the project's metadata schema. This creates a schema/column definition only; it does not set a per-item value. Use set_metadata field_name/value or complete Project Metadata XML with readback to update a value.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
field_nameYesInternal name for the metadata field
field_typeYesType of the field: 0 = Integer, 1 = Real, 2 = String, 3 = Boolean
field_labelYesDisplay label for the field

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool completed successfully.
dataNoTool-specific result data when ok is true; on failure, diagnostic detail when the tool provides it.
toolYesThe registered MCP tool name.
errorNoFailure detail when ok is false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.18.6
    • addedInput schema / additionalProperties
      Added value: +false
    • changedOutput schema / properties / data / description
      Previous value: -"Tool-specific result data when ok is true."New value: +"Tool-specific result data when ok is true; on failure, diagnostic detail when the tool provides it."
  2. Changed2 schema fields changedv1.14.4
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "additionalProperties": false,
+  "properties": {
+    "data": {
+      "description": "Tool-specific result data when ok is true."
+    },
+    "error": {
+      "description": "Failure detail when ok is false.",
+      "type": "string"
+    },
+    "ok": {
+      "description": "Whether the tool completed successfully.",
+      "type": "boolean"
+    },
+    "tool": {
+      "description": "The registered MCP tool name.",
+      "minLength": 1,
+      "type": "string"
+    }
+  },
+  "required": [
+    "ok",
+    "tool"
+  ],
+  "type": "object"
+}
  3. Changed1 schema field changedv1.4.0
    • removedInput schema / additionalProperties
      Removed value: -false
  4. Addedv1.1.5
  5. Removedv1.1.5
  6. First observedv1.1.1

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=false), so the description's added value is the schema-vs-value distinction, which is genuinely useful. It stops short of stating behavior on duplicate field names, required project state, or permissions, so it's strong but not exhaustive.

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?

Two tightly written sentences, front-loaded with the action and its scope, followed by the corrective routing. No wasted text.

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

Completeness4/5

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

An output schema exists so return values need no explanation, and the description resolves the main ambiguity (schema definition vs value assignment). Only minor gaps remain, e.g. uniqueness/error behavior for the new field.

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% and all three required params are self-documented (including the field_type enum mapping in the schema). The description adds no format or constraint detail beyond the schema, so the baseline 3 applies.

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+resource ('Add a custom metadata field to the project's metadata schema') and immediately scopes it as a schema/column definition only, which distinguishes it from value-writing tools like set_metadata.

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

Usage Guidelines5/5

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

Explicitly states when NOT to use it ('it does not set a per-item value') and names the alternatives ('set_metadata field_name/value or complete Project Metadata XML with readback') for updating a value. Routing is unambiguous.

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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