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UVU-Store

shopify-graphql-mcp

by UVU-Store

get_publication

Retrieve a specific Shopify publication by ID for targeted data access via the Admin GraphQL API.

Instructions

Fetch a specific publication by ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPublication ID (e.g., 'gid://shopify/Publication/123456789')
Behavior2/5

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

No annotations are provided, and the description only states the fetch action. It does not disclose return format, permission requirements, or side effects, though the read-only nature is somewhat inferred from 'Fetch'. This is a significant gap in behavioral disclosure.

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 clearly states the action and target with no unnecessary words. It is appropriately sized for a simple getter tool.

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?

For a simple tool with one fully documented parameter, the description is adequate. However, there is no output schema and no annotations, so the agent must infer the return structure and any operational details. Slightly more context would improve completeness.

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?

The input schema fully describes the required 'id' parameter with a type and example, achieving 100% coverage. The description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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 uses the specific verb 'Fetch' and identifies the resource 'publication' with 'by ID', which clearly distinguishes it from list operations like get_publications. The purpose is unambiguous and requires no additional context.

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 when a specific publication ID is available, but it does not explicitly state when to prefer alternatives like get_publications for listing. There are no exclusions or alternative tool references, so guidance is only implicit.

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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