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sanhao-global-experts

sop-sort-tool

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use sop sort 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

D1.9/5.0
Behavior1/5

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

No annotations are supplied, so the description carries the full behavioral burden, and it discloses nothing: not what is sorted, whether work is saved or stateful, what the response looks like, or any cost/latency/auth characteristics. The 'prompt kit with step-by-step instructions' framing even suggests a downloadable product rather than a callable operation, which is misleading for an agent deciding whether to invoke it.

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?

It is short, but every clause is promotional ('Instantly generate', 'Ships as a full prompt kit', '30-day support promise') rather than operational. The front-loaded sentence is about a product bundle, so the reader hits marketing before any functional information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with no output schema and no annotations, the description must at minimum explain the sort operation and the return shape; it explains neither. The restaurant/brand framing is unexplained and unrelated to any sibling naming convention, leaving an agent unable to predict behavior.

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?

Only one optional parameter exists and schema description coverage is 100%, so the schema already explains the 'query' scoping parameter and the baseline is 3. The description adds no meaning beyond it — no hint at what the query should contain or how it constrains the sort.

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 text mostly restates the tool name ("generate a ready-to-use sop sort tool workflow") without saying what 'sort' actually means here — prioritizing, categorizing, or ordering SOPs. The leading phrase "AI-powered restaurant & brand intelligence pack" describes a product bundle rather than a specific verb+resource, and nothing distinguishes this from the many sop-* siblings (sop-audit-tool, sop-check-tool, sop-gen-tool, sop-summary-tool, etc.).

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 invoke this tool, when not to, or which sibling to use instead. Claims like "no prompt engineering needed" and "30-day support promise" are sales copy, not usage guidance, so an agent has no basis for ranking this against sop-check-tool or sop-summary-tool.

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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