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sanhao-global-experts

side-biz-route

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use side biz route 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 behavioral burden. It discloses only that the deliverable is a 'full prompt kit with step-by-step instructions' plus a vague '30-day support promise' — nothing about output format, length, cost, latency, or whether the generated content is deterministic, all of which matter for a generation tool.

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 which roughly half is promotional filler ('Instantly', 'no prompt engineering needed', '30-day support promise'). The lead sentence spends its prime position on a vague category label instead of what the tool actually returns.

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 is the only source of truth about the result, yet it never explains what a 'side biz route workflow' contains or what an agent should do with the returned kit. For a zero-required-parameter generation tool, this leaves the caller guessing about the payload.

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?

With one optional parameter at 100% schema description coverage, the schema already explains 'query'. The description adds no meaning about how the query scopes the generated route, 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 opening sentence, 'AI-powered restaurant & brand intelligence pack,' is a marketing category label rather than a verb+resource statement, and the second sentence mostly restates the tool name ('generate a ready-to-use side biz route workflow'). It never distinguishes this from the near-identical sibling 'side-hustle-map' or from the many 'restaurant'/'fnb' tools in the sibling list.

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 when-to-use guidance, no prerequisites, and no named alternative. 'No prompt engineering needed' is a selling point, not a routing rule, so an agent has no basis for choosing this over side-hustle-map or the fnb-* family.

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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