Delete label
delete_labelDelete a label by ID. Removes the label from all associated posts or media. Use this when the user wants to delete a label.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| labelId | Yes | The label ID to delete. |
delete_labelDelete a label by ID. Removes the label from all associated posts or media. Use this when the user wants to delete a label.
| Name | Required | Description | Default |
|---|---|---|---|
| labelId | Yes | The label ID to delete. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds meaningful behavioral context beyond the annotations by disclosing that deletion also removes the label from all associated posts or media. This is important side-effect information for an agent calling the tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two compact sentences, front-loads the core action, and includes the key side effect without unnecessary elaboration. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple single-parameter delete operation, the description plus annotations provide sufficient context: destructive intent is flagged, idempotency is noted, and the label removal side effect is explained. It does not describe return values, but this is less critical for a delete action with no output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already fully documents the single labelId parameter with 100% coverage. The description's 'by ID' phrasing only restates the schema and adds no substantial new semantic information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States the exact operation ('Delete a label by ID') and the resource acted upon, then clarifies the scope by saying it removes the label from associated posts or media. This makes it clearly distinct from siblings like create_label, update_label, and list_labels.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states 'Use this when the user wants to delete a label,' giving a clear trigger condition. It does not mention alternative tools for create/update scenarios, but the intent is unambiguous.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools occupy adjacent spaces, especially the interactive view_* tools versus their get_/list_ counterparts (view_posts/list_posts, view_analytics/get_analytics) and the multiple upload paths (upload_media, create_media_upload, multipart flow). Detailed 'Use this when' guidance helps, but an agent could still misselect between compose_post and create_post or between bulk_posts and the individual delete/retry/update operations.
Tool names follow a highly consistent verb_noun pattern throughout: create/get/update/delete/list for each resource (posts, media, labels, channel sets, RSS feeds, schedules), plus publish/approve/reject/retry/upload/view. No style mixing or inconsistent casing.
51 tools is an extremely large surface, crossing the calibration's 50+ extreme threshold. While the platform covers many subdomains, this volume is likely to overwhelm agents and makes the toolkit unwieldy for an MCP server.
The toolkit provides broad lifecycle coverage: CRUD for posts, media, labels, channel sets, RSS feeds, and schedules, plus publishing, approvals, retries, bulk operations, analytics, quota, channel health, and media upload variants. Minor gaps exist, such as no get_channel single-resource getter and no way to update media labels directly, but agents can work around these.