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sanhao-global-experts

sph-reply-kit

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

C2.2/5.0
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 discloses nothing operational: not whether the tool returns a generated artifact, a static prompt template, or a filled workflow, nor side effects, latency, or invocation constraints. The lines about "step-by-step instructions" and a "30-day support promise" are commercial boilerplate rather than behavioral disclosure.

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, and the second restates the first with a marketing prefix while the third is pure sales copy (

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, no annotations, and an opaque name, the description should explain what a "reply kit" contains, which platform "sph" refers to, and what the agent gets back. None of that is present, so the definition is not sufficient for an agent to invoke this tool with confidence.

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 schema has a single optional parameter with 100% description coverage, so the schema already defines it, which sets the baseline at 3. The description adds nothing about how a scoping query changes the generated kit, so it neither compensates nor detracts.

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 describes a "restaurant & brand intelligence pack," which does not match a reply-kit generator and gives no usable signal. The second sentence says it will "generate a ready-to-use sph reply kit workflow," but "sph" is never expanded and "reply kit" is never defined, so an agent cannot distinguish it from the many siblings (sph-comment-kit, sph-review-kit, sph-talk-kit, dy-reply-kit, xhs-reply-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. In a family with dozens of near-identical sph-*-kit and *-reply-kit tools, that selection guidance is the single most important thing the description could provide, and it is absent.

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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