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

Beyond the structural hints (readOnlyHint), the description adds critical business context that an agent needs to manage user expectations, specifically mentioning 'final prices,' 'delivery times,' and that 'VAT is included.' This defines the quality and scope of the data returned.

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 definition is a single, highly dense sentence that efficiently packs the exhaustive list of product types and pricing details into minimal space without unnecessary padding.

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?

Despite having no output schema, the description is complete. It defines exactly what the agent should expect in the return value: a list of nine items including pricing and delivery estimates.

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 schema coverage is 100% for the single parameter, so the baseline score is 3. The description is mostly reiterating the allowed currencies and does not add unique semantic value beyond the structured schema definition.

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 explicitly states that it lists all nine Netik products, providing a comprehensive scope. By specifying the list of product types (AI agents, MCP servers, etc.), it clearly distinguishes its function (general list) from transactional siblings like get_price or create_quote.

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?

While it doesn't explicitly say 'use this tool when...', the scope definition strongly implies the intended use: getting a broad catalog overview. The contrast with specific transactional tools like get_price makes the intended usage clear.

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