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power_load

Read-onlyIdempotent

Retrieve daily electricity consumption (network load) for a city's control zone using SMARD data.

Instructions

Stromverbrauch (Netzlast) der Regelzone einer Stadt, Tageswert (SMARD).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering safety and idempotency. The description adds that the tool returns daily values from the SMARD source, which is useful behavioral context. However, it does not describe the return format or pagination behavior.

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

Conciseness4/5

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

The description is a single, concise sentence that front-loads the key information. Every word contributes to understanding the tool's purpose, making it efficient for an AI agent to parse.

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 low complexity (one parameter, no output schema), the description is incomplete. It fails to explain the 'slug' parameter or describe the expected return values. The presence of an open-world hint and lack of enum enums further underscores the need for more context.

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 has 0% description coverage and the only parameter 'slug' is not explained in the description. The description does not add meaning beyond the schema, leaving the agent to guess what a 'slug' represents (e.g., city identifier). This is a critical gap.

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

Purpose4/5

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

The description clearly states the tool provides 'Stromverbrauch (Netzlast) der Regelzone einer Stadt, Tageswert (SMARD)', which is power consumption data for a city's control zone. This distinguishes it from sibling tools like 'power_price' and other energy-related tools, though it lacks an explicit verb like 'retrieve'.

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?

There is no guidance on when to use this tool versus alternatives, nor any mention of prerequisites, limitations, or exclusions. The description does not clarify the context in which this tool is appropriate.

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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