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sanhao-global-experts

monthly-gen-tool

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use monthly gen tool 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?

With no annotations, the description carries the full behavioral burden, and it discloses almost nothing actionable: no indication of what actually gets produced beyond the vague "prompt kit," whether generation is deterministic, or whether any inputs are required. The "30-day support promise" is marketing, not behavior an agent can act on.

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 of sales language, and none of them front-load what the tool does or returns. The wording is short but low-value, with features like the support promise occupying space that functional detail should fill.

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?

There is no output schema and no annotations, so the description must explain the result and behavior of generation; instead it describes packaging and a support guarantee. An agent cannot tell what it will receive or how the optional query is consumed.

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 single optional `query` parameter is fully documented in the schema (100% coverage, "Optional user query to scope the analysis"), so the schema does the work. The description adds no extra meaning about how the query shapes the generated workflow, so the baseline 3 applies.

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 tool name ("generate a ready-to-use monthly gen tool workflow") rather than stating a concrete verb+resource. The only added signal is the domain ("restaurant & brand intelligence pack"), and it never distinguishes this from the many sibling variants such as monthly-tpl-tool, monthly-write-tool, or monthly-audit-tool.

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 guidance on when to use this versus the other monthly-* tools (check, tpl, write, summary, audit), and no prerequisites or exclusions. "No prompt engineering needed" is promotional copy, not usage 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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