Skip to main content
Glama

account_request_history

Recent API requests for your key — requestId, status, credits, cacheHit (0 credits). Costs 0 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
limitNoMax rows to return (default 50, max 500). Free — does not consume credits.
sinceNoInclusive lower bound on createdAt (ISO date or datetime).
untilNoExclusive upper bound on createdAt (ISO date or datetime).
cursorNoPagination cursor from nextCursor (createdAt of the last row). Leave empty for the first page.
endpointNoExact Captapi path filter, e.g. /v1/instagram/basic-profile.
statusCodeNoFilter by HTTP status code (e.g. 500).

TDQS

A3.8/5.0
Behavior3/5

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

The description discloses cost behavior (0 credits, no charge for empty results/failures) and hints at a caching mechanism. However, it references a 'cache' parameter that does not exist in the schema (additionalProperties: false), which is misleading. It does not describe pagination details or error behavior beyond what the schema implies, but the cost transparency is valuable.

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

Conciseness4/5

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

The description is a single sentence that conveys multiple pieces of information (purpose, cost, cache behavior). It is concise but slightly dense and could be clearer with line breaks. Overall, it is efficient without unnecessary fluff.

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?

With no output schema, the description provides some context by listing likely return fields (requestId, status, credits, cacheHit). It does not explain pagination beyond the schema's cursor description, nor does it clarify the cache behavior given the missing parameter. The description is adequate but leaves some ambiguity about the cache option and what exactly is returned.

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?

All six parameters are fully described in the schema (100% coverage), so the description does not need to repeat them. The description does not add any extra meaning to the parameters; it only mentions a non-existent 'cache' parameter, which does not help. Baseline is 3 given full schema coverage.

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 purpose: retrieving recent API requests for the user's key, listing key fields like requestId, status, credits, and cacheHit. It is distinct from sibling tools such as account_balance and account_daily_usage, which focus on balance and usage totals rather than individual request history.

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

Usage Guidelines4/5

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

The description provides some usage guidance, including that the tool costs 0 credits and that empty results/failures are never charged, which reassures the agent about cost. It also mentions a caching option ('Pass cache=true') but this parameter is not present in the schema, which could mislead. No explicit guidance on when to prefer this over alternatives is given, but its distinct purpose implies when it should be used.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.