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AiAgentKarl

ecommerce-mcp-server

search_products

Search products by keyword with a configurable result limit. Returns product data from e-commerce APIs.

Instructions

Produkte nach Suchbegriff durchsuchen.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSuchbegriff (z.B. 'laptop', 'shoes', 'phone')
limitNoMaximale Anzahl Ergebnisse (Standard: 10, Max: 30)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. The description only states the basic function, omitting details like result ordering, pagination, or behavior on empty queries. The output schema exists but is not used to supplement behavioral info.

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 sentence, concise and front-loaded. It contains no unnecessary fluff, though it could benefit from a brief addition of usage context.

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?

The tool is simple with only two parameters and an output schema. The description is adequate but minimal. Given the sibling tools, more context (e.g., search type or scope) 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?

Schema coverage is 100%, so baseline is 3. The description adds no additional parameter information beyond what the input schema already provides (query and limit with descriptions).

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 'search products by search term' clearly states the action and resource. However, it does not differentiate from sibling tools like 'get_products_by_category' or 'lookup_by_barcode', which also involve product retrieval but with different intent.

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. There is no mention of suitable contexts, exclusions, or criteria for choosing this over sibling tools.

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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