Search enclosures

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

The description defines the exact domain of its behavior by listing all the searchable fields: product codes, names, categories, materials, and IP ratings. This is crucial behavioral context that goes beyond the provided structural annotations and schema.

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 highly efficient, using a single, dense sentence to convey the purpose, scope, and searchable fields without redundancy or unnecessary phrasing.

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?

Given the clear scope, the explicit listing of search parameters (codes, materials, etc.), and the presence of annotations regarding safety and boundedness, the definition is maximally complete for an agent.

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?

Since schema description coverage is only 50%, the description is vital. It clarifies the semantic intent of the 'query' parameter, providing concrete examples of valid search terms (e.g., product codes, language, material types).

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 tool name and description clearly define the purpose: performing a keyword search across the Altınkaya enclosure catalog. It specifies the nature of the operation and the resource being searched.

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 does not explicitly state 'use this vs filter_enclosures', the definition clearly frames the function as a general 'keyword search,' implying it is used for broader, non-specific lookups.

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