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UVU-Store

shopify-graphql-mcp

by UVU-Store

update_marketing_event

Update an existing marketing event in Shopify by its ID. Modify details like name, budget, status, dates, and description to keep event information accurate.

Instructions

Update an existing marketing event

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesMarketing Event ID
nameNoEvent name
budgetNoBudget amount
statusNoEvent status
endDateNoEnd date
startDateNoStart date
budgetTypeNoBudget type
descriptionNoEvent description
Behavior1/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states 'Update an existing marketing event' with no information about partial vs. full updates, error handling, required permissions, or effects on related data. This is essentially a restatement of the tool's name.

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 wasted words. It is front-loaded and immediately conveys the core action, making it easy for an agent to parse quickly.

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 8 parameters, no output schema, and no annotations, the description is insufficient for an agent to fully understand the tool's behavior. It lacks detail on return values, expected errors, and whether updates are partial or full. The schema covers parameter syntax, but the overall context remains incomplete for a mutation tool.

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 input schema already documents all 8 parameters clearly. The description adds no additional parameter semantics beyond what the schema provides, thus the baseline score of 3 applies.

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 'Update an existing marketing event' uses a specific verb ('update') and resource ('marketing event'), clearly distinguishing it from sibling tools like create_marketing_event, get_marketing_event, and delete_marketing_event. It is concise and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for updating existing events, but provides no explicit guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. The context is clear from the name, but no direct comparison is made.

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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