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

With no annotations, the description carries the full burden, and it does disclose the return payload (name, slug, category, brand, price range, key specs) and directory breadth. It is silent on result limits, pagination, ranking/relevance behavior, and what happens with zero required parameters supplied (all 830+ 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?

Two sentences, zero waste, with capability and return shape front-loaded. Nothing repeats the name or title verbatim and every clause contributes.

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?

For a 3-parameter, zero-required search tool at 100% schema coverage, the description is nearly sufficient, and listing the returned fields compensates for the missing output schema. The remaining gap is behavioral: no statement about result caps or empty-query behavior for an optional-parameter-only tool.

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 description coverage is 100%, so the parameters are already fully documented and the baseline is 3. The description adds only that searching can be done by brand, a facet that has no dedicated parameter and must be routed through 'query' — mildly useful framing but not new per-parameter semantics.

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?

States a specific verb (search) and resource (Geppetto's directory of 830+ robots) plus the facets it can be searched by, so an agent immediately knows what it does. It does not explicitly distinguish itself from get_robot (detail lookup) or compare_robots, leaving that separation to be inferred from the names.

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?

Usage is implied by the facet list ('by category, brand, price range, or use case'), which tells the agent the kinds of queries that fit. There is no explicit when-to-use vs. when-not guidance and no mention of get_robot/compare_robots as alternatives for single-robot or comparison needs.

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