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video_summarize

Whisper + AI summary of an uploaded file — transcript included; 1 credit/min + 1. Costs 1 credit/min +1. Empty results and failures are never charged. Pass cache=true for a free 24h cache hit (default always fresh).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesVideo or audio file (multipart form field — use -F file=@path, not a query string). Max 200MB / 60 minutes.
languageNoISO-639-1 Whisper language hint, e.g. "en" or "tr". Omit to auto-detect.
translateNoWhen true, translate speech to English before summarizing. Default false.
timestampGranularityNosegment (default) or word.

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations provided, the description does meaningful work by disclosing cost ('1 credit/min + 1'), the no-charge guarantee on empty/failed results, and cache behavior. However, it instructs callers to 'Pass cache=true', but cache is not a property in the input schema, making part of the guidance unreliable. It does not disclose additional limitations beyond the ones already in schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded with purpose, but it contains redundancy: '1 credit/min + 1' is immediately repeated as 'Costs 1 credit/min +1.' The cache guidance also adds operational value but would be cleaner if the parameter actually existed in the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a minimum-viable description for a 4-parameter, no-output-schema tool. It covers cost, failure handling, and the result surface (transcript + AI summary), but it does not describe the expected response structure, compare itself to related summarizer/transcript tools, or explain conditions under which empty/failed results occur.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage for the four real parameters is 100%, so the schema already provides parameter meaning. The description adds no value for existing parameters like language, translate, or timestampGranularity, and introduces an undefined cache=true parameter that is absent from the schema and likely to mislead an agent.

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

Purpose5/5

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

The description clearly states the tool's action and resource: 'Whisper + AI summary of an uploaded file — transcript included'. This makes the tool distinct from platform-specific siblings such as youtube_summarize, tiktok_summarize, and video_transcript by signaling it works on user-uploaded media and includes both a transcript and an AI summary.

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?

There is no explicit statement of when to use this tool versus alternatives like youtube_summarize, tiktok_summarize, or video_transcript. The phrase 'uploaded file' implies usage for local/media uploads rather than platform URLs, and the cache guidance gives an operational tip, but no clear when-to/not-to-use or alternative tool comparison is provided.

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.