get_balance_trend

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

With no annotations, the description discloses the time window and the nature of the output (categorical status). It does not reveal whether the tool is purely read-only, but the 'get' prefix implies that. It also doesn't mention any potential side effects or additional behavior like pagination or data freshness, which would be relevant.

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 consists of two short sentences, both informative and free of filler. It front-loads the core purpose and then clarifies the output meaning, making it highly efficient.

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 tool is simple with one optional parameter, and the description conveys the purpose and output interpretation. However, without an output schema or more detail on the return format (e.g., whether it's a time series or just a single classification), there is slight ambiguity. Overall it's adequate for a basic monitoring 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?

The schema already provides full coverage for the single 'id' parameter, including allowed formats and the default for omission. The description adds no extra parameter-related details, so the baseline score of 3 is appropriate.

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 provides a balance trend for batteries over the last ~60 minutes and defines the output as a categorical assessment (improving, stable, degrading). This distinguishes it from sibling tools like get_cell_stats or get_snapshots by focusing on trend classification rather than raw data.

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 context that this is for assessing balance trend over a recent 60-minute window, implying it's useful for monitoring battery health. However, it doesn't explicitly state when to use this instead of alternatives like get_cell_stats or get_energy_history, nor does it mention exclusions.

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