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reddit_subreddit_posts

List posts from a subreddit with sort, timeframe, and cursor pagination — title, score, upvote ratio, flair, and more. Costs 2 credits. Empty results and failures are never charged. Pass cache=true for a free 24h cache hit (default always fresh).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesSubreddit URL, r/name, or bare name, e.g. r/technology. 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.
sortNoFeed sort: best, hot, new (default), top, or rising.
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 200). Flat 2 credits per call.
cursorNoPagination cursor. Leave empty for the first page; then pass the nextCursor value returned in the previous response.
timeframeNoFor sort=top: hour, day (default), week, month, year, or all.

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden, and it does disclose meaningful traits: the 2-credit cost, the no-charge policy for empty results/failures, and the cache semantics. However, most of the cost and cache behavior is already present in the schema's parameter descriptions (limit says 'Flat 2 credits per call'; cache says '0 credits on hit'), so the only genuinely novel disclosure is 'Empty results and failures are never charged.' No rate-limit, auth, or data-freshness caveats are covered.

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?

Three tight sentences: the core capability is front-loaded, followed by cost and cache policy. Every sentence earns its place; there is no filler, repetition of the tool name, or abstract marketing language.

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?

For a 6-parameter tool with 100% schema coverage and no output schema, the combination of description and schema is fairly complete: the description covers cost, failure-charge policy, cache behavior, and a sample of the return fields, while the schema covers all parameter semantics and the cross-platform URL constraint. Gaps are minor — no rate-limit or auth disclosure and no explicit differentiation from reddit_search — but nothing essential for correctly invoking the tool is missing.

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 — every parameter (url, sort, cache, limit, cursor, timeframe) already has a rich schema description including defaults and constraints. The description only echoes 'sort, timeframe, and cursor pagination' and hints at return fields, adding minimal parameter meaning beyond the schema.

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 states a clear verb+resource ('List posts from a subreddit') and adds specific scope details: sort, timeframe, cursor pagination, and the returned fields (title, score, upvote ratio, flair). It is readily distinguishable from siblings like reddit_subreddit_details or reddit_post_comments, though it does not explicitly name any sibling to disambiguate against (e.g., reddit_search), so it stops short of a 5.

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

Usage Guidelines3/5

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

Usage context is implied by the purpose statement — if you want a subreddit's post feed with sorting/pagination, this is the tool — but there is no explicit when-to-use guidance or naming of alternatives such as reddit_search (for finding posts by query) or reddit_post_details (for a single post). The operational notes (credits, cache) are useful, but they don't route the agent among the many reddit siblings.

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.