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Nitrostack-HAK

Fraud Alert MCP Server

analyze_transaction

Assess real-time transactions for fraud risk by comparing against known patterns, returning a probability score to flag suspicious activity.

Instructions

Analyzes a real-time transaction against known patterns to return a fraud probability score

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountYesTransaction amount
userIdYesUser ID
currencyYesCurrency code (e.g., USD)
deviceIdYesDevice identifier
locationYesTransaction location
timestampYesISO 8601 timestamp
transactionIdYesUnique transaction identifier
merchantCategoryYesMerchant category (e.g., electronics, restaurant)
Behavior2/5

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

With no annotations provided, the description fails to disclose behavioral traits such as whether the operation is read-only, destructive, or if it has side effects. It only states it 'analyzes' and 'returns a score', but does not clarify mutation or required permissions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

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

The description is a single, well-structured sentence that is front-loaded with the purpose. No redundant or unnecessary elements.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 8 parameters and a nested object, yet the description is minimal. It does not explain the return value format, error handling, or behavior for invalid inputs. However, the high schema coverage partially compensates, making it minimally adequate.

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 each parameter is already documented. The description adds no additional meaning beyond what the schema provides, meeting the baseline of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'analyzes' and the resource 'real-time transaction', with a specific outcome 'return a fraud probability score'. It distinguishes from sibling tools like flag_transaction_status by focusing on probability scoring.

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?

No explicit guidance on when to use this tool vs alternatives. The description does not mention prerequisites, limitations, or exclusions, leaving the agent to infer usage context.

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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