bosch_get_components

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

With no annotations, the description carries the burden of behavioral disclosure. It reveals that the data source depends on the sign-in type (Flow account vs EU Data Act client), which is an important behavioral nuance beyond a simple list operation. It also describes what data is returned but does not cover error behavior or rate limits.

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 well-structured with a concise summary, component enumeration, source-context note, use-case sentence, and parameter documentation. Every sentence adds value and the information is front-loaded.

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 tool's simplicity, the description is nearly complete: it covers purpose, data fields, source behavior, use cases, and parameters. However, it does not explicitly state what happens when bike_id is omitted (e.g., returns components for all bikes) or how it relates to sibling tools like bosch_get_batteries.

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 has 0% description coverage, but the description's Args section fully compensates by explaining the purpose of each optional parameter and providing concrete example values for component_type. This adds meaning well beyond the bare schema 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 description uses a specific verb ('List') with a clear resource ('registered components for your Bosch eBike') and explicitly enumerates the kinds of components and data fields (part numbers, serial numbers, firmware versions). This distinguishes it from sibling tools like bosch_get_batteries or bosch_get_bikes.

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 states clear contexts for use: tracking firmware versions and identifying components for warranty/service. It does not explicitly mention when to avoid this tool or name alternative tools, so it falls short of full guideline coverage.

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