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sanhao-global-experts

mood-to-shot

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use mood shot workflow - no prompt engineering needed. Ships as a full prompt kit with step-by-step instructions and a 30-day support promise.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden and delivers mostly commercial claims ("ships as a full prompt kit," "30-day support promise"). It does hint that the output is a step-by-step prompt kit rather than an analysis, which is the one genuinely useful disclosure, but says nothing about output shape, length, or whether inputs are stored.

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?

Three sentences, but the closing "30-day support promise" is pure sales copy that gives an agent nothing for selection or invocation, and the pack/kit/step-by-step phrasing is redundant across sentences. The purpose statement is front-loaded but buried under promotional language.

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?

A single optional parameter and no output schema means the description must define the deliverable, and it does not — an agent cannot tell what a returned "mood shot workflow" contains or how it differs from the dozens of sibling photo/shot tools. Insufficient for the routing decision this tool requires.

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 further meaning about what scoping the query achieves, but baseline 3 applies when the schema does the documentation 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 with marketing framing: "generate a ready-to-use mood shot workflow." It never defines what a "mood shot" is (photo prompt? shoot plan? ad creative?) or what artifact the caller receives, and the opener "restaurant & brand intelligence pack" actively muddies the purpose rather than sharpening it.

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

Usage Guidelines1/5

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

There is no when-to-use guidance, no prerequisites, and no routing away from the many adjacent photo/script tools in the sibling list (dy-photo-kit, xhs-photo-kit, shoot-script-studio, video-shot-script-master). "No prompt engineering needed" is a selling point, not a usage condition.

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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