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sanhao-global-experts

travel-save-coach

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use travel save coach 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 exist, so the description carries the full burden, and it discloses nothing behavioral: not whether it reads or writes, whether the output is a prompt kit, a workflow, or a generated document, nor any cost or latency traits. The '30-day support promise' is commercial boilerplate, 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.

Conciseness3/5

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

It is short and front-loads a claim, but every sentence is sales copy ('Instantly generate', 'no prompt engineering needed', '30-day support promise') rather than operational information. It is compact but not efficient, since none of the words help an agent invoke it.

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?

With no annotations and no output schema, the description must explain the tool's behavior and deliverable, and it does neither. An agent cannot tell what it gets back from this call or how it differs from the large family of travel and prompt-kit tools.

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?

There is a single optional 'query' parameter with 100% schema description coverage, so the schema already explains it. The description does not mention the parameter or how a query scopes the generated workflow, so it adds nothing beyond the schema baseline.

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 labels itself a 'restaurant & brand intelligence pack' and says it will 'generate a ready-to-use travel save coach workflow', but never states concretely what the tool produces or does. 'Travel save coach workflow' and 'full prompt kit' are marketing phrases, not a verb+resource definition, and nothing distinguishes it from the many travel siblings such as trip-planner-pro or budget-travel-pro.

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 at all: no triggers, no conditions, no mention of what to use instead. Phrases like 'no prompt engineering needed' are advertising, not selection criteria, so an agent has nothing to decide against the travel siblings with.

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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