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UVU-Store

shopify-graphql-mcp

by UVU-Store

get_cash_tracking_sessions

Retrieve cash tracking sessions from Shopify POS with filters for date range, location, and pagination. Use to monitor and reconcile cash drawer activity.

Instructions

Fetch cash tracking sessions for POS

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNoCursor for pagination
firstNoNumber of sessions to fetch (1-250, default: 50)
endDateNoEnd date filter (ISO format)
startDateNoStart date filter (ISO format)
locationIdNoFilter by location ID
Behavior2/5

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

No annotations are present, so the description carries the full burden. 'Fetch' implies a read-only operation, but it doesn't disclose pagination behavior (e.g., using 'after' and 'first'), default page size, or that filtering by date/location is supported. It also doesn't mention what the response contains, leaving the agent without essential behavioral context.

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, concise sentence that immediately front-loads the verb and resource. There is no redundant information or fluff; every word earns its place.

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 5 parameters, no annotations, and no output schema, so the description must compensate by explaining return values and behavior. It only says 'fetch sessions', omitting pagination defaults, response shape, and the fact that it supports filters. This is insufficient for the agent to understand what the tool returns and how to effectively invoke it.

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?

All five parameters are fully documented in the input schema (100% coverage), so the description adds no additional semantic value. The schema already explains each parameter (pagination cursor, page size, date filters, location filter). Therefore, the baseline score of 3 is appropriate.

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

Purpose4/5

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

The description clearly states the action ('Fetch') and resource ('cash tracking sessions') for POS. The plural 'sessions' suggests a list operation, distinguishing it from the singular sibling 'get_cash_tracking_session'. However, it does not explicitly say 'list all' or mention alternative tools for single-session retrieval, so it misses full differentiation.

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. It doesn't mention the singular get_cash_tracking_session for retrieving one session, nor does it explain the intended use case like listing sessions within a date range or for a specific location. The description provides no contextual usage advice.

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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