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UVU-Store

shopify-graphql-mcp

by UVU-Store

add_cash_transaction

Add a transaction to a cash tracking session, specifying type (ADD, REMOVE, SALE, REFUND, PAYOUT), amount, and optional note or reference.

Instructions

Add a cash transaction to a tracking session

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoOptional note
typeYesTransaction type
amountYesTransaction amount
sessionIdYesCash Tracking Session ID
paymentMethodNoPayment method (for non-cash transactions)
referenceNumberNoReference number
Behavior2/5

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

With no annotations, the description carries full responsibility for behavioral disclosure. It only says 'add a cash transaction' but does not explain effects such as whether the session total is updated, how different transaction types (ADD, REMOVE, SALE, etc.) affect behavior, or whether the operation is reversible. This is a significant gap for a write operation.

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 sentence with no filler. It conveys the core purpose efficiently and is front-loaded with the action verb. Every word contributes meaning, making it an optimal length for the tool's simplicity.

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 has six parameters, an enum with five transaction types, and no output schema. The description does not explain the different transaction types or how they relate to the amount, nor does it mention required context like the session existing. The description is too sparse for the tool's semantic richness, leaving the agent without critical context.

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%, so the baseline is 3. The description adds no extra parameter semantics, leaving all meaning to the schema. Since the schema already documents each parameter, the description provides no additional value beyond what the structured data offers.

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 'Add a cash transaction to a tracking session' clearly identifies the action (add), the resource (cash transaction), and the target (tracking session). This distinguishes it from sibling tools like create_cash_tracking_session or get_cash_tracking_sessions, which focus on sessions rather than transactions.

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?

The description gives no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. It only states the basic action, leaving the agent to infer usage from the tool name and schema without any explicit decision support.

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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