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

No annotations are provided, so the description carries full burden. It discloses that results are limited to approved, published listings and supports various filters. However, it does not mention default behavior (e.g., default sort or limit), pagination, or edge cases like empty queries. Some behavioral context is given but not exhaustive.

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 efficient with three concise sentences. It front-loads the purpose, lists available filters, and ends with clear usage guidance. Every sentence adds value with no redundancy.

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?

The description covers the main purpose, filters, and next steps for a search tool with 7 optional parameters and an output schema. It lacks details on default behavior (covered in schema) but is otherwise complete for guiding an AI agent. Minor omission of explicit mention that all parameters are optional, but schema clarifies.

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?

Schema coverage is 100% with detailed descriptions for all 7 parameters, including enums. The description adds context by grouping parameters (e.g., 'topic, category, pricing, MCP support, or EU hosting') but does not provide significant additional meaning beyond the schema. Baseline 3 is appropriate.

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 finds SaaS tools in the Tulimoa directory by various filters (topic, category, pricing, MCP, EU hosting) and returns approved listings. It explicitly distinguishes itself from the sibling get_listing by advising to call it for full detail on a result.

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 explicitly states to use this tool for 'find/recommend a tool for X' requests and advises the next step of calling get_listing for details. This provides clear context and differentiation from editing, submitting, or listing categories.

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