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stier1ba

LicenseSpring MCP Server

by stier1ba

Get Product Details

get_product_details

Retrieve comprehensive product information by querying the LicenseSpring MCP Server, enabling efficient license management and operational insights.

Instructions

Get detailed information about a product

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productYes
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 states it 'gets' information, implying a read-only operation, but doesn't cover aspects like authentication needs, rate limits, error handling, or response format. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 a single, efficient sentence with no wasted words, making it appropriately concise. However, it's front-loaded only in the sense that it's brief, but it lacks structure that could enhance clarity, such as separating purpose from usage notes.

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?

Given the tool's complexity (a read operation with 1 parameter), no annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't explain what information is returned, how to interpret the 'product' input, or behavioral traits, making it inadequate for effective agent use without additional context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 1 parameter with 0% description coverage, and the tool description adds no information about the 'product' parameter. It doesn't explain what 'product' refers to (e.g., product ID, name, or type), expected format, or examples. With low schema coverage, the description fails to compensate, leaving the parameter's meaning unclear.

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

Purpose3/5

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

The description states the verb ('Get') and resource ('detailed information about a product'), which is clear but vague. It doesn't specify what constitutes 'detailed information' or differentiate from potential sibling tools like 'get_versions' or 'get_customer_license_users', which might also retrieve product-related data. The purpose is understandable but lacks specificity.

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. With siblings like 'get_versions' or 'get_device_variables' that might retrieve different product details, there's no indication of context, prerequisites, or exclusions. Usage is implied only by the tool name, not explained.

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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