Get Snow Conditions
get_snow_conditionsGet current snow conditions and weather for Limone Piemonte ski area
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_snow_conditionsGet current snow conditions and weather for Limone Piemonte ski area
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states that the tool retrieves current snow conditions, but does not mention output format, update frequency, or any access limitations, leaving the agent with minimal behavioral context.
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 a single sentence, front-loaded with the key action and resource. Every word adds value, making it appropriately concise.
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, zero-parameter read-only tool with no output schema, the description sufficiently states what the tool does and for which area. No critical information is missing for an agent to decide on invocation.
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 the input schema is empty. The description does not need to elaborate on parameters; the baseline score of 4 applies because there is nothing to explain beyond the schema.
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 uses the specific verb 'Get' and identifies the exact resource: 'current snow conditions and weather for Limone Piemonte ski area'. This clearly distinguishes it from sibling tools like hotel or restaurant details.
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 the use case: when snow conditions and weather for Limone Piemonte are needed. However, it does not explicitly state when not to use it or mention any alternative tools, leaving the context to be inferred.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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