md_traffic_weather

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

The annotation readOnlyHint=true already conveys that this is a safe read operation, so the description does not need to repeat that. The description adds value by detailing the specific meteorological fields returned and their relevance to winter weather. However, it does not disclose potential limitations such as whether data is current-only, historical, or geographically scoped beyond the Maryland context implied by the tool name.

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 three concise sentences, front-loaded with the primary action and resource (Get road weather data from RWIS stations), followed by a list of included data types and a use-case statement. Every sentence earns its place, and there is no redundant information.

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 zero-parameter tool with no output schema, the description provides a solid overview of content and purpose. It lists the key data dimensions and explains why the data matters. It lacks explicit details about return structure, units, or temporal scope, but given the low complexity and no parameters, the description is sufficiently complete for an agent to invoke the tool correctly.

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 tool has zero parameters, and schema description coverage is 100% (trivially, since there are no properties). The description adds no parameter-level details because none exist, which is appropriate. Per the baseline for 0 params, a score of 4 is reasonable since there is no parameter documentation burden to satisfy.

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 identifies the tool as retrieving road weather data from RWIS stations, with a specific list of included measurements (air/surface temperature, humidity, wind, precipitation, visibility). This distinguishes it from sibling tools like md_traffic_incidents, md_traffic_cameras, and md_traffic_speeds, which focus on incidents, camera feeds, and speed data respectively.

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 provides clear usage context by noting the data is 'Critical for winter weather road condition assessment,' implying when to use this tool. It does not explicitly exclude alternatives, but the domain (RWIS road weather) is distinct from traffic incident or speed tools, making the intended use clear enough. No explicit exclusions are mentioned.

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