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sanhao-global-experts

sph-tutorial-kit

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use sph tutorial kit 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

C2.3/5.0
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 disclosure burden, yet it never says whether this generates text, returns a static template bundle, or performs an analysis. The '30-day support promise' is commercial copy rather than behavioral information; return shape, length, and whether the single free-text query changes the output are all unstated.

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 first is a misleading domain label placed up front where the agent looks first, and the third ('30-day support promise') is pure sales filler with no operational value. Only the middle sentence carries any callable information, so the front-loading actively works against correct selection.

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?

The schema is trivial (one optional string) and there is no output schema, so the description does not need to document return fields in detail. However, with no annotations and no explanation of what a 'tutorial kit' artifact contains or how it differs from the other tutorial-kit tools, an agent still cannot confidently decide to invoke it.

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?

There is one optional parameter with 100% schema description coverage ('Optional user query to scope the analysis'), so the schema already does the work and the baseline of 3 applies. The description never mentions the query parameter or how scoping changes the generated kit, adding no meaning beyond the schema.

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 opening sentence calls this an 'AI-powered restaurant & brand intelligence pack', a domain framing that does not match the tool name (an SPH/WeChat-Channels tutorial kit) and would mislead an agent scanning for a video-channel content tool. Only the second sentence names the actual resource ('sph tutorial kit workflow'), and nothing distinguishes it from the many adjacent siblings such as sph-guide-kit, sph-sop-kit, sph-template-kit, or xhs-tutorial-kit.

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 statement of when to use this tool, when not to, or which sibling to pick instead. 'No prompt engineering needed' is a marketing claim, not a usage condition, and the presence of five near-identical tutorial-kit siblings makes routing guidance essential.

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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