Get Threads post
threads_post_getGet a single Threads post by URL.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Link to the Threads post. | |
| trim | No | When true, returns a smaller response with fewer fields. |
threads_post_getGet a single Threads post by URL.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Link to the Threads post. | |
| trim | No | When true, returns a smaller response with fewer fields. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the read-only nature is covered. The description adds no additional behavioral context such as rate limits, authentication requirements, or response format. It states the core action but does not disclose any quirks beyond what the schema and annotations already imply.
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 front-loads the core action and resource. It contains no filler or redundancy, making it easy for an agent to parse quickly.
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 read-only fetch tool with two parameters and no output schema, the description is mostly complete. It clearly states the input (URL) and the action. However, it does not hint at what the response will include (e.g., full post content, metadata), but given the simplicity and the presence of a trim parameter to control response size, this is a minor gap.
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?
Schema coverage is 100%: both 'url' and 'trim' have descriptive text. The description adds no extra meaning beyond the schema. The baseline of 3 is appropriate since the schema already documents the parameters sufficiently.
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 states a specific action ('Get') on a specific resource ('a single Threads post') and clarifies the input mechanism ('by URL'). This distinguishes it from siblings like threads_profile_get (for profiles) and threads_profile_posts_list (for lists of posts).
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 does not provide any guidance on when to use this tool versus alternatives. It mentions no conditions, exclusions, or alternative tools. The intended usage is only implied by the tool name and description, but there is no explicit routing between this and other post-getting or list tools.
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.