Civic Data MCP Server

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

With no annotations provided, the description carries full burden. It discloses the data source (NOAA) and return content (current conditions + 7-day forecast), which is useful behavioral context. However, it doesn't mention rate limits, error conditions, authentication needs, or whether this is a read-only operation (though 'Get' implies read-only).

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 efficiently structured with a clear purpose statement followed by organized sections for Args and Returns. Every sentence adds value - no redundant information. The formatting with bullet-like sections enhances readability without unnecessary verbosity.

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?

Given the tool has an output schema (which handles return values), the description provides adequate context for a weather forecast tool. It covers purpose, parameters with examples, and return content overview. However, for a tool with no annotations, it could benefit from mentioning operational constraints like rate limits or error handling.

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%, so the description must compensate. It provides concrete examples for both parameters (Washington DC coordinates) and clarifies they represent geographic coordinates for US locations. This adds meaningful context beyond the bare schema, though it doesn't explain parameter constraints like valid ranges.

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's purpose with specific verb ('Get') and resource ('weather forecast'), specifying geographic scope ('US location by coordinates') and data source ('NOAA'). It distinguishes from siblings like 'get_global_weather' by focusing on US locations and from 'get_weather_alerts' by providing forecasts rather than alerts.

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 implicitly indicates when to use this tool (for US weather forecasts via coordinates) but doesn't explicitly state when not to use it or name alternatives. It doesn't provide guidance on prerequisites or comparisons with similar tools like 'get_global_weather' or 'query_noaa'.

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