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energy_add_grid_consumption

Add grid consumption data to your Energy Dashboard's grid source. Automatically creates the source if not present.

Instructions

Add a grid consumption flow (flow_from) to the Energy Dashboard's grid source, creating the grid source if needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stat_energy_fromYes
stat_costNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the behavioral load. It mentions the automatic creation of the grid source if needed, which is a useful trait. However, it fails to disclose other behaviors like idempotency, side effects, or permission requirements, leaving gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, well-structured sentence that conveys the core action efficiently. No redundant words, and the key information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's mutation nature, 2 parameters, and the presence of an output schema, the description lacks essential context such as parameter mapping, return value hints, and usage scenarios. It is insufficient for an agent to invoke correctly without additional knowledge.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 0%, and the description does not explain any parameter meanings. The parameter names 'stat_energy_from' and 'stat_cost' are cryptic, and the description only mentions 'flow_from' without mapping to parameters, offering no added clarity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (add), the resource (grid consumption flow), and the target (Energy Dashboard's grid source). It distinguishes from sibling tools like energy_add_battery_source or energy_add_solar_source by specifying 'grid consumption flow'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no explicit guidance on when to use this tool versus alternatives (e.g., energy_add_grid_return). It lacks context about prerequisites, when-not to use, or trade-offs, leaving the agent without decision-making support.

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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