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List labels

list_labels
Read-only

List all labels available for tagging posts and media. Use this when the user wants their post labels/tags.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by label type: "post" or "media". Returns all if omitted.

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds that labels are for 'tagging posts and media,' which is useful context, but it does not disclose additional behaviors such as pagination, ordering, filtering semantics, or return format.

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 short sentences with no wasted words. The purpose is front-loaded, followed by a clear usage cue, and every sentence contributes to understanding.

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?

For a simple read-only listing tool with one optional parameter and strong annotations, the description is nearly complete. It could briefly mention the optional type filter or expected return, but the schema covers the filter and the tool's simplicity reduces the risk of mis-invocation.

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 single optional parameter is already fully documented. The description adds no further parameter-level meaning, which is acceptable because the schema carries the semantic burden.

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 uses a specific verb ('List') and a clear resource ('labels'), and explains that labels are used for tagging posts and media. This differentiates the tool from siblings like create_label, update_label, and delete_label by focusing on the read-only listing behavior.

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?

The phrase 'Use this when the user wants their post labels/tags' gives clear intent-based guidance for selecting the tool. It does not explicitly mention alternatives or exclusions, but the context is strong enough for an agent to know when this tool applies.

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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TDQS

A3.8/5.0
Disambiguation3/5

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.

Naming Consistency5/5

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.

Tool Count1/5

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.

Completeness4/5

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.

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