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sanhao-global-experts

shortvideo-teardown

Turn expertise into output. This shortvideo teardown prompt pack helps restaurant and brand teams produce professional results in minutes. Includes the complete prompt, usage guide, and edge-case handling.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full burden, yet it only advertises packaging ("complete prompt, usage guide, and edge-case handling") without stating what the call returns, whether the query changes behavior, or any limits. That packaging sentence is the only real behavioral signal, and it is a sales pitch rather than observable tool behavior.

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

Conciseness2/5

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

The opening line "Turn expertise into output" is a slogan that consumes the front-loaded position with zero informational content. The remaining sentences are generic product copy that could be attached to any tool in this family.

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

Completeness2/5

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

With no output schema and no annotations, the description needed to explain the deliverable, the target platform, and what a teardown consists of; instead it offers only bundle contents. An agent cannot predict the result shape or judge fit against the many adjacent shortvideo tools.

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?

The single optional `query` parameter is fully documented in the schema (100% coverage), so the baseline of 3 applies. The description adds nothing about how the query scopes or alters the teardown output, so it does not exceed the baseline.

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

Purpose2/5

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

The description leans on the title with a marketing gloss ("shortvideo teardown prompt pack") rather than a specific verb+resource statement. It names an audience (restaurant and brand teams) but never says what the tool actually produces — a video breakdown, a replication plan, a script critique — nor how it differs from near-identical siblings such as shortvideo-ops-coach, shortvideo-remake, or short-video-script-doctor.

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?

There is no when-to-use, when-not-to-use, or alternative-tool guidance; the single audience clause ("restaurant and brand teams") is the only scoping hint. An agent facing dozens of shortvideo/douyin siblings has nothing to route on.

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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