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sanhao-global-experts

business-negotiation

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use business negotiation 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

C2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden, and it discloses almost nothing operational. The one useful signal is that the output is a 'full prompt kit with step-by-step instructions', hinting at a generated text artifact, but there is no mention of output format, determinism, or whether 'restaurant & brand intelligence' changes the result. The '30-day support promise' is product marketing, not tool behavior.

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, but most of the wording is sales copy rather than capability description. The first sentence ('restaurant & brand intelligence pack') and the last clause ('30-day support promise') do not help an agent decide or invoke anything and actively dilute the one functional sentence.

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?

The tool is structurally simple (one optional string, no output schema), so it should be easy to describe completely, yet the agent is left unsure what artifact comes back and how the optional query shapes it. The inclusion of unrelated 'restaurant & brand intelligence' framing leaves the actual scope ambiguous.

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% with a single optional parameter, so the schema already explains 'query' as an optional scoping input. The description adds nothing about how the query is interpreted or what scope it affects, so the baseline 3 applies rather than a higher score.

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 only functional clause is 'generate a ready-to-use business negotiation workflow', but it is buried between marketing phrases. The opening line calls it a 'restaurant & brand intelligence pack', which points at a different domain than negotiation and never explains what the tool actually produces (a prompt kit? a strategy? a script?). It also fails to distinguish itself from near-identical siblings such as salary-negotiation, refund-negotiation, and bargain-talk-coach.

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 statement of when to use this tool, when not to, or which sibling to pick instead. 'No prompt engineering needed' is a selling point, not usage guidance, and nothing tells the agent whether the optional query should carry a negotiation topic, an industry, or a counterparty description.

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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