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

With no annotations, the description carries full transparency burden. It discloses key behaviors: 10-minute snapshot intervals, newest-first ordering, and up to 90 days of history. However, it does not explicitly confirm the operation is read-only, define 'active stations,' or describe response format beyond 'time series.'

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 two concise sentences, front-loading the primary purpose and then adding key behavioral details. Every word contributes without redundancy.

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 simple read-only tool with two parameters and no output schema, the description provides a solid shape of the response (time series of two metrics) and key constraints (resolution, ordering, retention). It lacks explicit return-field names and error scenarios, but for this complexity it is nearly complete.

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 only 50%, but the description adds context by clarifying the city scope and the maximum history window (90 days), which helps interpret the hours parameter. It does not explicitly explain hours semantics beyond the schema's default/min/max, so the description partially compensates.

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 specifies the tool's function: it returns a time series of bike availability and active stations for a city, with a specific temporal resolution. This distinguishes it from sibling tools like find_stations (station search) and get_network_status (current status).

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 implies usage for historical trend analysis but does not explicitly state when to use this tool over alternatives or provide exclusion criteria. It mentions the time-series nature and 90-day history, which signals suitability for trend queries, but lacks direct comparison with siblings.

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