amber_forecast
Retrieve electricity price forecasts for Amber sites to optimize energy usage and reduce costs.
Instructions
Get electricity price forecast for an Amber site.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No | ||
| site_id | Yes |
Retrieve electricity price forecasts for Amber sites to optimize energy usage and reduce costs.
Get electricity price forecast for an Amber site.
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No | ||
| site_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Without annotations, the description does not disclose behavioral traits like data freshness, time range of forecast, or pricing units. It only states what it does, not how or with what limitations.
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, concise sentence but lacks necessary detail. It is not verbose, but it is under-specified for a tool with two parameters and no schema descriptions.
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 lack of schema descriptions and output schema, the description is inadequate. It does not explain the forecast's structure, time granularity, or any constraints, leaving significant gaps for the agent.
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 adds no meaning to the parameters. It does not explain 'site_id' (e.g., how to get it) or the optional 'api_key', leaving the agent without crucial context.
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 retrieves an electricity price forecast for an Amber site, using a specific verb and resource. It is distinct from siblings like 'amber_current_price' and 'amber_sites'.
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?
No guidance is provided on when to use this tool over alternatives, such as 'amber_current_price' for spot prices, or how to obtain a site_id. The description lacks context for prerequisites.
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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