Well

Delete custom column

well_delete_custom_column

Destructive

Delete a custom column from the current view (soft delete).

Use this tool when the user asks to delete, remove, or archive a custom column.

REQUIRED: custom_column_id

This soft-deletes the column. Existing FieldValue rows are NOT cascade-deleted — they remain in the database, orphaned to a hidden column. This is normal for soft deletes; do not warn the user about it unless asked.

Returns { success: true, custom_column_id } on success, or { success: false, error } on failure.

Input Schema

Name	Required	Description
`workspace_id`	No	Target workspace. Omit when the token authorizes one workspace. Required when it authorizes several — a write lands in exactly one workspace and this call would not say which.
`conversation_id`	No	The conversation id returned by the previous Well result, in its meta under well/conversation_id, in its structuredContent, or in its JSON text block. Pass it back on every call in the same conversation, including a call a card makes, so the chosen workspace and the earlier answers still apply. It decides the conversation on its own: nothing the host states about the session replaces it. Omit it only on the first call of a conversation.
`idempotency_key`	No	Optional client-supplied key. A retried write with the same key returns the original result instead of re-applying the operation.
`workspace_scope`	No	Restrict this call to the family: the token's primary workspace plus the company workspaces under it that you are a member of. Unrelated authorized workspaces drop out of the read; row reads merge across the family, while a per-workspace figure still reports exactly one workspace.
`custom_column_id`	Yes	The UUID of the custom column to delete (required)

Output Schema

Name	Required	Description
`code`	No
`error`	No
`success`	Yes
`reply_lines`	No
`conversation_id`	No	The conversation this result belongs to. Pass it back as the conversation_id argument on every later Well call in the same conversation.
`near_candidates`	No
`newly_connected`	No	Tools that connected to this workspace since the last result and that no session was told about yet, oldest first. Present only when at least one tool is new. The connected-line rule says when to tell an entry; when it does, one line per entry, in the person's language: "<name> is connected.". Never fold several entries into one sentence. Each entry comes back once, on one result only: never repeat its line later.
`custom_column_id`	No
`conversation_id_note`	No	Present only when the server opened a fresh lane, stating that no choice recorded earlier was read.
`conversation_id_source`	No	Where the conversation id came from: the host's own request meta, the caller's argument, or a fresh lane the server opened.
`near_candidates_truncated`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed4 schema fields changedOct 28, 2026

addedOutput schema / properties / code
```
Added value: +{
+  "type": "string"
+}
```

addedOutput schema / properties / near_candidates

Added value: +{
+  "items": {
+    "additionalProperties": false,
+    "properties": {
+      "company_id": {
+        "type": "string"
+      },
+      "name": {
+        "type": "string"
+      }
+    },
+    "required": [
+      "company_id",
+      "name"
+    ],
+    "type": "object"
+  },
+  "type": "array"
+}

addedOutput schema / properties / near_candidates_truncated
```
Added value: +{
+  "type": "boolean"
+}
```

addedOutput schema / properties / reply_lines

Added value: +{
+  "items": {
+    "type": "string"
+  },
+  "type": "array"
+}

AddedOct 13, 2026

TDQS

A4.1/5.0

Behavior5/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false, but the description adds genuinely non-obvious behavior: the delete is soft, FieldValue rows are NOT cascade-deleted and remain orphaned to a hidden column, and the user should not be warned about it. It also documents the exact success/failure response shapes, which the annotations cannot convey.

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

Conciseness4/5

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

Front-loaded with the action and the soft-delete qualifier, then usage trigger, required param, consequences, and return shape in a tight block. The "do not warn the user unless asked" sentence is slightly editorial but earns its place by preventing a common agent failure mode.

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?

For a single-required-param mutation with an output schema and full schema coverage, everything an agent needs is present: trigger, required input, side effects on related data, and return contract. Nothing material is missing.

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%, so the schema already explains workspace_id, conversation_id, idempotency_key, workspace_scope, and custom_column_id. The description only restates that custom_column_id is REQUIRED — useful emphasis but not new semantics; baseline 3 applies when the schema does the heavy lifting.

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?

States a specific verb and resource ("Delete a custom column from the current view") and immediately qualifies the operation as a soft delete, which is the key distinguishing fact versus well_update_custom_column. It does not name a sibling tool explicitly, so an agent must infer the create/update/delete trio from names alone.

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?

"Use this tool when the user asks to delete, remove, or archive a custom column" gives concrete trigger phrasings, which is more than most definitions offer. It stops short of stating when NOT to use it (e.g. when the user wants to hide a column vs. delete it, which maps to well_update_custom_column).

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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