Skip to main content
Glama

Get YouTube community post

youtube_community_post_get
Read-only

Get a YouTube community post by URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic YouTube community post URL.

TDQS

B3.2/5.0
Behavior2/5

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

The description simply says 'Get', which aligns with the readOnlyHint annotation. However, it adds no behavioral context beyond what the annotations already declare. It does not mention any potential variations in response structure (despite openWorldHint), authentication requirements, or how the post data is returned.

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?

The description is a single, tight sentence that gets straight to the point. It is appropriately concise with no wasted words, though it is minimal. It is front-loaded with the verb and object, making it easy to parse quickly.

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?

For a simple read operation with a single parameter and no output schema, the description is adequate but not full. It omits any detail about the returned data structure or how to construct a valid URL, which could be useful. However, the tool's purpose is clear enough that an agent likely can call it correctly without extra context.

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?

The input schema already covers the 'url' parameter with a description ('Public YouTube community post URL.'), achieving 100% coverage. The tool description does not add any further meaning or usage details about the parameter, so it earns the baseline score for high schema coverage.

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 clearly states the action ('Get') and the specific resource ('YouTube community post'), and specifies the method ('by URL'). This distinguishes it from other YouTube tools like youtube_video_get or youtube_channel_get, as well as platform-specific get tools for other services.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. Sibling tools include youtube_video_get, youtube_channel_get, and similar getters for other platforms, but there is no mention of scenarios where this specific tool is appropriate or when to prefer a different one.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.4/5.0
Disambiguation5/5

Each tool is clearly scoped to a specific platform and action (e.g., facebook_post_get vs instagram_post_get). Descriptions explicitly differentiate similar tools across platforms, and within-a-platform tools like tiktok_search_videos_list vs tiktok_search_hashtag_list have clear disambiguation notes.

Naming Consistency5/5

All 167 tools follow a strict `platform_resource_action` pattern (e.g., youtube_video_comments_list). No mixing of styles—snake_case throughout, with consistent verb ordering (get, list, search, etc.).

Tool Count2/5

The server has 167 tools, which is far beyond the typical well-scoped range of 3-15. While the broad multi-platform scope justifies many tools, this extreme number makes the tool surface overwhelming and difficult for an agent to navigate efficiently.

Completeness4/5

The tool set covers a wide range of platforms and operations including profile retrieval, post/video fetching, comments, search, transcripts, and ad library access. Minor gaps exist (e.g., no Facebook events or LinkedIn messaging), but the surface is comprehensive for a read-only data aggregation use case.