generate_shopping_list

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

No annotations are provided, so the description must disclose behavioral traits. It only states that it 'creates' a list, with no mention of side effects, required permissions, idempotency, or what happens to existing data. The impact of 'AI destekli' (AI-supported) is undefined, leaving the agent without a clear behavioral model.

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

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

The description is a single, direct sentence with no filler or redundancy. It is front-loaded with the core purpose. While extremely brief, the conciseness is appropriate for a simple action, though the brevity leaves gaps in other dimensions.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description should compensate by explaining return values or usage conditions. It fails to do so, providing only the most basic statement. The tool has three parameters and no output schema, making the description insufficient for an agent to predict behavior or outcomes.

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

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

The input schema fully describes all parameters (items, budget, preferences) with 100% coverage. The tool description adds no additional parameter details, so it meets the baseline for high schema coverage. No extra semantic value is provided.

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

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

The description clearly states the tool's action: 'AI destekli alışveriş listesi oluşturur' (creates an AI-supported shopping list). This distinguishes it from siblings like search_products or compare_prices, as it focuses on list generation. However, the phrase 'AI destekli' is vague and lacks specificity about what AI adds.

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

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 use cases, prerequisites, or exclusions. For a tool with siblings like get_ai_recommendations and find_cheapest, this absence of context makes it hard for an agent to decide when to invoke it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.