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search_material_catalog

Search a 3D printing material catalog by brand, type, or keyword. Uses multi-token matching across vendor names, types, and notes.

Instructions

Search the material catalog by brand, type, or keyword.

        Performs a case-insensitive multi-token search across vendor
        names, material types, and notes.  All tokens must match for
        an entry to be returned.

        Args:
            query: Search text (e.g. ``"Hatchbox PLA"``, ``"PETG"``).
        

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
Behavior3/5

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

With no annotations, the description must cover behavioral traits. It discloses case-insensitive multi-token matching and required fields, but does not mention return format, pagination, or side effects. The information is somewhat incomplete.

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

Conciseness5/5

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

The description is concise, with a clear purpose and a structured Args section. Every sentence adds value, and it is well front-loaded.

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

Completeness4/5

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

Given the tool's simplicity (one parameter, no output schema), the description covers the search logic and parameter meaning. It could be more complete by describing the return format, but it is sufficient for basic use.

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

Parameters4/5

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

The input schema has 0% description coverage for the 'query' parameter. The description compensates by explaining the parameter and providing examples, adding significant meaning beyond the schema.

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

Purpose5/5

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

The description clearly states the tool searches the material catalog by brand, type, or keyword. It specifies the matching behavior (case-insensitive multi-token, all tokens must match), which distinguishes it from other search tools like 'search_cached_models' or 'list_material_catalog'.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description indicates usage for searching the material catalog, but does not explicitly compare with alternatives like 'list_material_catalog' or other search tools. However, the purpose is clear enough that an agent can infer when to use it.

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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