Get Truth Social post
truthsocial_post_getGet a Truth Social post by URL.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Link to the Truth Social post. |
truthsocial_post_getGet a Truth Social post by URL.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Link to the Truth Social post. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, so the description aligns with these by using 'Get'. However, the description adds no extra behavioral context beyond what the annotations already convey. It does not mention potential rate limits, required authentication, or the exact content of the response, which could be useful but is not strictly necessary given the annotation coverage.
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 states the essential information immediately. It contains no filler, no repetition, and is front-loaded with the main action. Every word 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?
Given the tool's simplicity—one parameter, no output schema, read-only annotations—the description is largely complete. It tells the agent exactly what to provide (a URL) and what the tool does (retrieve a post). While it does not detail the response format, this is not uncommon for simple retrieval tools, and the lack of an output schema means the description carries some responsibility. However, the absence of any note about URL format (e.g., full vs. short URLs) is a minor gap, but not severely detrimental.
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 only parameter, 'url', is fully described in the schema as 'Link to the Truth Social post.' The tool description repeats this same meaning without adding new detail. Since schema coverage is 100%, the description does not need to compensate; it provides no additional value beyond the schema, aligning with the baseline of 3.
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 specific action (Get), the resource (Truth Social post), and the mechanism (by URL). It immediately distinguishes this tool from siblings like truthsocial_profile_get or truthsocial_profile_posts_list, which serve different purposes. No ambiguity exists.
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 explicit guidance on when to use this tool versus alternatives. It does not mention exclusions, conditions, or contrast with other post retrieval tools across platforms. The usage is implied by the name and description but without explicit routing, the agent must infer. No context is given about when this tool is preferred over e.g., bluesky_post_get or twitter_tweet_get.
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.