get_recommended_pressure

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

With no annotations provided, the description carries the burden of disclosing behavior. It clearly discloses the live-weather dependency, the wet/dry decision logic, and the bar-unit output format. It does not describe edge-case or error behaviors, but the core operational behavior is 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 short, front-loaded, and free of filler. The first phrase conveys the core value proposition immediately. The only minor issue is slight redundancy between 'live weather' and 'Fetches Open-Meteo data'.

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 tool with five required parameters, no output schema, and no annotations, this description is incomplete. It explains the high-level flow and output unit but omits essential parameter format details, especially how to specify the bike and what units the weights should use.

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 description coverage is 0%, and the description does not define the meaning, units, or allowed values of the five required parameters. It only hints that lat/lon are used for the Open-Meteo weather lookup and that weights feed the pressure calculation; crucial details like what 'bike' refers to and the weight unit are missing.

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 what the tool does: it fetches Open-Meteo weather data, determines wet/dry conditions, and returns front/rear pressure in bar. This is a specific and understandable purpose, though it does not explicitly differentiate itself from the sibling calc_pressure.

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 phrase 'One-call recommended pressure with live weather' implies the main use case: getting a weather-aware recommendation in a single call. However, it does not explicitly state when not to use this tool or mention alternatives such as calc_pressure, so usage guidance is mostly implied rather than explicit.

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