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bluesky_user_posts

Author feed — posts and reposts (isRepost marked), quote/external/images embeds, opaque cursor. Costs ~3 credits (0.1/result). Empty results and failures are never charged. Pass cache=true for a free 24h cache hit (default always fresh).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesBluesky profile URL, @handle, or handle, e.g. https://bsky.app/profile/handle.bsky.social. The URL platform must match this endpoint's platform. Do not pass cross-platform URLs, e.g. YouTube to TikTok, Instagram to Facebook, LinkedIn to X/Twitter, or Pinterest to Rumble.
cacheNoSet true to serve from the 24h response cache (0 credits on hit). Default false — always fetch fresh.
limitNoMax items to return (default 25, max 100). Billed per result.
cursorNoOpaque pagination cursor from the previous nextCursor. Leave empty for the first page. Do not invent a cursor from publishedAt — the feed is ordered by feed time (reposts sort by repost time).
filterNoBluesky getAuthorFeed filter: posts_with_replies (default), posts_no_replies, posts_with_media, posts_and_author_threads, or posts_with_video. Controls replies/media/threads — not reposts. Use includeReposts=false to drop reposts.
includeRepostsNoWhen false, omit repost rows (reasonRepost). Default true — reposts are included and marked with isRepost / repostedBy / repostedAt.

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it does a strong job: it reveals repost marking, embed types, opaque cursor semantics, credit costs per result, the fact that empty results and failures are not charged, and cache behavior. It does not cover every possible behavior like rate limits or explicit output shape, but the provided details add meaningful transparency.

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 extremely compact and front-loaded: it opens with the core resource and content type, then adds cost and caching details in short, scannable sentences. Every sentence contributes useful information with no redundancy or filler.

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?

Given six parameters, no output schema, and no annotations, the description is largely complete: it covers content, repost markers, embeds, cursor pagination, costs, failure billing, and cache behavior. It stops short of describing the exact response envelope or error format, which would make it fully complete in the absence of an output schema.

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 baseline is 3 even without parameter detail in the description. The description adds some value by explaining the opaque cursor, cache hit behavior, and per-result billing, which relate to cursor, cache, and limit, but it does not need to restate the schema's already thorough parameter docs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the resource as an 'Author feed' containing posts and reposts, with reposts marked via isRepost and various embed types. It differentiates from sibling tools like bluesky_profile and bluesky_post_details by emphasizing feed-level listing behavior, though it lacks an explicit verb like 'fetch' or 'list'.

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 gives useful context about caching and cost, but it does not explicitly state when to choose this tool over alternatives such as bluesky_profile or bluesky_post_details. Usage is only implied by the phrase 'Author feed' rather than explicitly routed with when-to-use or when-not-to-use guidance.

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

B3.2/5.0
Disambiguation3/5

The platform-prefix convention keeps most of the 178 tools clearly separated, but several clusters are genuinely ambiguous: tiktok_live_info is explicitly described as 'Identical to TikTok Live', instagram_basic_profile and instagram_channel_details both return profile stats, and facebook_profile_posts overlaps with facebook_profile_reels. The generic 'Summarizer' descriptions for facebook_summarize, instagram_summarize, and tiktok_summarize provide no disambiguating detail at all.

Naming Consistency4/5

The dominant snake_case platform_resource_suffix pattern is followed remarkably consistently across 178 tools (e.g. youtube_channel_videos, tiktok_search_users, reddit_subreddit_posts). Minor deviations exist: the same creator resource is called 'channel' in some tools (tiktok_channel_details, instagram_channel_posts) but 'profile' or 'user' in others (facebook_profile_posts, twitch_user_videos, linnkme_profile); link-in-bio tools mostly use _page but linkme uses _profile; and the video_summarize/video_transcript pair lacks a platform prefix.

Tool Count2/5

At 178 tools this is far beyond what any agent can efficiently navigate in a single flat namespace, and even individual platform subsets exceed reasonable bounds (TikTok alone has ~34 tools, YouTube ~25). The sheer breadth of the multi-platform scope partially justifies the count, but the server would be far more usable split into per-platform servers.

Completeness4/5

The read-only data surface is impressively thorough: nearly every platform has profile + content + search + comments coverage, and TikTok, YouTube, Instagram, and Facebook are covered end-to-end including shops, ads, transcripts, and summaries. Notable gaps are minor: Twitter has no keyword search tool, LinkedIn lacks comments, and Reddit has no user-profile endpoint, but none of these create dead ends for the server's core data-retrieval purpose.