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OwlStat: Instagram & TikTok Analytics

get_viral_studio_overview

Read-only

Get a cross-platform Viral Studio overview for short-form videos across Instagram Reels, YouTube Shorts, and TikTok. Use this when someone asks for an overview of short-form performance, what is working across platforms, or wants the top short videos in their workspace.

Input Schema

NameRequiredDescriptionDefault
platformNoPlatform filter: all, instagram, youtube, or tiktokall
top_videos_limitNoHow many top videos to include from Viral Studio (1-12, default 5)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety and scope are covered. The description adds that results span a workspace across three networks and include top videos, but says nothing about aggregation period, ranking logic, or what happens when a platform has no data. Some added context, but thin for a no-output-schema tool.

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?

Two sentences, front-loaded with the resource scope, and the usage trigger follows naturally. No filler, though the platform list in sentence one partly duplicates the enum in the schema.

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?

With only two optional parameters, full schema coverage, and annotations covering the safety profile, the definition supplies enough to call it correctly. The missing piece is any hint about the shape of the returned overview (no output schema exists), which would have helped an agent interpret results.

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%, with both the platform enum and the 1-12 top_videos_limit bound fully documented in the schema. The description adds no parameter guidance beyond that, so the baseline 3 applies.

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?

States a specific verb and resource ('Get a cross-platform Viral Studio overview for short-form videos') and enumerates the three covered platforms, which implicitly separates it from single-platform siblings like get_tiktok_top_videos or get_reels_analytics. It stops short of naming an alternative explicitly, so the differentiation is inferred rather than stated.

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 second sentence gives concrete triggering conditions: overview of short-form performance, what is working across platforms, or wanting top short videos. That is clear when-to-use guidance, but there is no when-not or named alternative (e.g. versus get_top_posts or get_reels_analytics), so it falls short of a 5.

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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