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sanhao-global-experts

shortvideo-remake

Save hours every week. This shortvideo remake toolkit gives you a battle-tested prompt and operating playbook for restaurant/brand growth. No setup, works in any LLM chatbot.

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 behavioral burden. It hints that the output is a "prompt and operating playbook" and claims "no setup, works in any LLM chatbot," but says nothing about the response shape, length, whether it writes anything, or what happens with the optional query.

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?

Only three sentences and none is wasted on length, but the lead sentence is a benefit slogan ("Save hours every week") rather than purpose, and "No setup, works in any LLM chatbot" is filler. Front-loading is spent on sales copy instead of what the tool does.

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 annotations and no output schema, the description is the only source of behavioral information, and it leaves the agent unable to predict the return value or the effect of the optional query. For a prompt/playbook-delivery tool the minimum would be stating what gets returned and how the query is applied.

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 coverage is 100% for the single optional `query` parameter, so the schema already explains it. The description adds no meaning about how `query` scopes the output, which is the baseline-3 case when structured fields do the work.

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 restates the name ("shortvideo remake toolkit") and adds only a marketing benefit line; it never states a concrete verb or what the tool actually produces. In a sibling set packed with near-identical names (shortvideo-script-doctor, shortvideo-teardown, shortvideo-viral-copy, shortvideo-ops-coach), nothing here lets an agent distinguish this tool from those.

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?

The only situational cue is an audience hint ("restaurant/brand growth"), which is a target market rather than a use condition. There is no statement of when to pick this over the many overlapping shortvideo siblings, and no prerequisites or exclusions.

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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