bosch_get_components

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

With no annotations provided, the description carries the full behavioral burden. It discloses that the data source depends on sign-in type, explains how component_type matching works (case-insensitive, grouped by stored spelling), and states that invalid values are refused while naming held types. This is unusually transparent.

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 front-loaded with the core purpose, then expands with necessary detail about source, use cases, and parameters. Although longer than minimal, every sentence adds value, and the structured Args section prevents ambiguity.

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 0% schema coverage and absence of annotations, the description is remarkably complete. It covers what is returned, which components are included, how source varies by authentication, filtering behavior, and error handling. An output schema exists, so return value details need not be in the description.

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 provides 0% description coverage, but the 'Args:' section fully compensates. bike_id is explained as an optional UUID filter, and component_type gets examples, matching semantics, and failure behavior. Both parameters are meaningfully documented beyond their raw schemas.

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 opens with a specific verb and resource: 'List registered components for your Bosch eBike with software versions.' It then enumerates the component types and data fields, making the tool's scope clear and distinct from sibling tools like bosch_get_batteries or bosch_get_bike.

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 provides clear usage context: 'Useful for tracking firmware versions and identifying components for warranty or service purposes.' It does not explicitly name sibling alternatives or state when not to use this tool, but the use case guidance is enough to orient an agent.

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