bosch_get_software_updates

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

With no annotations, the description carries the full burden and discloses important behavioral traits: the dependency on the EU Data Act API, the empty result under standard sign-in, and the fact that current firmware is still available via components. It does not explicitly label the operation as read-only, but this is inferable from the verb and context.

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 a clear one-sentence purpose, followed by a concise explanation of returned data and the essential EU Data Act caveat. The Args section is structured and directly adds parameter details. No sentence is extraneous; the length is appropriate for the tool's complexity.

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?

The description covers purpose, limitations, and all parameter semantics, and an output schema exists to detail return values. It is slightly incomplete in not mentioning pagination or error behavior, but for a history-retrieval tool with this caveat, it is quite complete. The existing output schema mitigates the need for return format details.

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 coverage is 0%, so the description must define the parameters, and it does so thoroughly in the Args block. It explains bike_id as an optional filter, specifies start_date formats (YYYY-MM-DD, YYYY-MM, Nd) and defaults for start/end dates. This fully compensates for the lack of schema descriptions.

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 clearly states the tool retrieves software update installation history for a Bosch eBike, using the specific verb 'Get' and a distinct resource. It differentiates from sibling tools by detailing the output includes component update reports with version transitions, and it mentions the EU Data Act API limitation, which further defines its scope.

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 gives concrete guidance on when to use the tool: it explains that with a standard Bosch eBike Flow sign-in the history is empty, and points users to components for current firmware. This explicitly provides an alternative (bosch_get_components) and a strong when-not condition, exceeding basic usage context.

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