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sanhao-global-experts

primary-transition

Save hours every week. This primary transition toolkit gives you a battle-tested prompt and operating playbook for restaurant/brand growth. No setup, works in any LLM chatbot.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.7/5.0
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 burden, yet it discloses nothing about what the tool actually does when called, what it returns, or any side effects. Benefit claims ("Save hours every week", "No setup") substitute for 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.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short and free of repetition, but the opening sentence is a value claim rather than a purpose statement, so the useful information is not front-loaded. Every sentence would need replacing rather than trimming.

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 tool whose parameter refers to "scoping the analysis," the description never says what analysis is produced, in what form, or under what conditions. With no annotations and no output schema, the description leaves an agent with essentially nothing to decide or invoke on.

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?

Schema description coverage is 100% for the single optional "query" parameter, so the schema already explains that it scopes the analysis. The description adds no meaning beyond that, which lands at the baseline for fully documented schemas.

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 names a domain ("restaurant/brand growth") but never states a specific verb or resource the tool acts on. "Primary transition toolkit" and "prompt and operating playbook" describe marketing positioning, not an operation an agent can select, and nothing distinguishes it from the many brand/restaurant siblings in the list.

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 when-to-use guidance, no exclusions, and no named alternative among siblings such as brand-strategy-planner or restaurant-ops-diagnostic. The only conditional-sounding phrase, "works in any LLM chatbot," is irrelevant to invocation.

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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