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sanhao-global-experts

sph-cover-kit

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

C2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden and largely fails: it never says whether the call generates content, returns a static prompt kit, has side effects, or requires auth. Only 'ships as a full prompt kit with step-by-step instructions' hints at the return being instructional text, but '30-day support promise' is commerce, not 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?

Two sentences, but the front-loaded sentence is off-topic positioning copy and the second spends its space on 'no prompt engineering needed' and a support promise rather than on what the tool does. The useful fragment ('sph cover kit workflow') is buried mid-sentence.

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?

For a tool with no annotations and no output schema, the description should explain what actually comes back and how the optional query affects it; instead it substitutes marketing. Since it is the sole source of behavioral information, this gap is material even for a one-parameter tool.

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 a single optional parameter with 100% schema description coverage ('Optional user query to scope the analysis'), so the schema fully documents it and the baseline of 3 applies. The description adds nothing about how the query scopes the generated kit, but it is not required to.

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 leads with 'AI-powered restaurant & brand intelligence pack', which does not match 'sph-cover-kit' and would mislead an agent about the resource. The actual function is only restated as 'generate a ready-to-use sph cover kit workflow', so the operation is tautological and the opaque acronym 'sph' is never expanded, leaving it indistinguishable from the dozens of sibling '-cover-kit' tools (gzh-cover-kit, xhs-cover-kit, dy-cover-kit, zh-cover-kit).

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 statement of when to use this tool, when not to, or which sibling it replaces - despite the sibling list containing five near-identical cover kits plus a full sph-* family. 'No prompt engineering needed' is a sales claim, not selection guidance.

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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