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BrandonDoster

PrintVaultMCP

get_inventory_item

Retrieve complete inventory item details by ID, including specifications and stock levels, for efficient inventory tracking and management.

Instructions

Get full details on a specific inventory item.

Args: item_id: The ID of the inventory item.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
item_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states 'Get full details' without mentioning read-only nature, error behavior, authorization requirements, or any side effects. For a simple get operation, this is minimal but insufficient for a well-rounded understanding.

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

Conciseness4/5

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

The description is concise and well-structured, with a single sentence followed by an Args list. It avoids unnecessary wording and front-loads the primary function. The structure is clean, though it is also under-specified in other dimensions, which is not a fault of conciseness itself.

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?

Given the tool's simplicity (one parameter, output schema present), the description covers the basic function and parameter identification. However, it lacks usage guidance and behavioral transparency, which are important due to the absence of annotations. The presence of an output schema reduces the need to explain return values, but gaps remain in contextual 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 description adds a brief explanation for item_id as 'The ID of the inventory item,' which clarifies the parameter's role. However, with schema description coverage at 0%, the description provides only minimal semantic value, essentially echoing the parameter name. It is adequate for a single parameter but does not go beyond basic identification.

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 tool's function with a specific verb and resource: 'Get full details on a specific inventory item.' This distinguishes it from siblings like search_inventory (searching) and update_inventory_item (updating) by indicating a direct fetch operation by item ID.

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 provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or context for use beyond the parameter list. There is no reference to sibling tools like search_inventory or get_item_allocation, leaving the agent without 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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