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sanhao-global-experts

scam-radar

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use scam radar 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 provided, so the description carries the full burden of behavioral disclosure, yet it only says the tool 'ships as a full prompt kit with step-by-step instructions and a 30-day support promise'. It does not describe what invoking the tool returns, whether it has side effects, or how the optional query affects 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?

The description is short but front-loads promotional phrasing instead of functional information. Every sentence is a marketing claim, leaving the agent with no useful operational details to act on.

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?

For a tool with one optional parameter and no output schema, the description should clearly explain what the tool produces and how to use the query. Instead, it offers only vague product marketing, leaving the agent unable to predict the tool's output or correct invocation.

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 coverage is 100%, so the single optional 'query' parameter is already documented as 'Optional user query to scope the analysis.' The description adds no additional meaning or format detail beyond what the schema provides, so the baseline of 3 is appropriate.

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 is marketing copy ('AI-powered restaurant & brand intelligence pack', 'instantly generate a ready-to-use scam radar workflow') rather than a clear statement of what the tool actually does. It does not say whether the tool generates a prompt kit, analyzes scams, or performs some other action, and it gives no differentiation from the many sibling tools.

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 guidance on when to use this tool versus alternatives, no exclusions, and no prerequisites. The only contextual claim is 'no prompt engineering needed', which is a sales promise rather than usage guidance.

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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