Get Twitter community
twitter_community_getGet details for an X community by community id or URL.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Community URL to look up. |
twitter_community_getGet details for an X community by community id or URL.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Community URL to look up. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, which tells the agent this is a safe read operation. The description adds 'by community id or URL' but this is more parameter-related than behavioral. There is no additional disclosure about response format or limitations. Since annotations cover the safety profile, a baseline 3 is appropriate.
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 a single, concise sentence that immediately conveys the tool's purpose with no redundant words. It front-loads the action and resource, making it quick to parse.
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 get operation with one parameter and annotations covering safety, the description is mostly sufficient. However, the id/URL inconsistency creates a gap in knowing exactly what input is accepted. The lack of an output schema means the agent must infer what 'details' entails, but this is generally acceptable for a get tool.
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 provides full coverage (100%) for the single 'url' parameter with a clear description. However, the tool description says 'by community id or URL', implying an alternative input format that is not reflected in the schema. This introduces confusion about what the parameter actually accepts. The description adds misleading semantics rather than helpful clarification.
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?
The description clearly states the verb 'Get' and the resource 'details for an X community', making the purpose clear. It distinguishes from siblings like twitter_community_tweets_list by focusing on details rather than tweets. However, the description mentions 'community id or URL' while the schema only accepts a URL, introducing slight ambiguity about accepted input forms.
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?
The description provides no guidance on when to use this tool versus alternatives. There are siblings such as twitter_community_tweets_list, but the description does not mention any exclusions or conditions. The usage context is entirely implied by the tool name and description.
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.
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.
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.).
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.
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.