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malkreide

swiss-electricity-mcp

by malkreide

tariff_compare_municipalities

Read-only

Compare electricity tariffs across multiple Swiss municipalities for a specific consumption category and year. Useful for procurement, benchmarking, and school-network analysis.

Instructions

Compare electricity tariffs across multiple municipalities (BFS-Nrs) for one category and year. One row per (municipality, operator). Useful for procurement, benchmarking, school-network analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodYes
categoryYesVerbrauchskategorie (e.g. C3)
bfs_numbersYes
response_formatNomarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already mark it as readOnly and openWorld. The description adds 'per municipality, operator' row structure, but no additional behavioral traits beyond what annotations cover.

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?

Two concise sentences with no redundancy. Front-loaded with action and key constraints.

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

Completeness5/5

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

With output schema present, description covers all necessary context: inputs, output structure, and use cases. Complete for the tool's complexity.

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

Parameters4/5

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

Schema coverage is low (25%), but description clarifies that bfs_numbers refers to municipalities, category is one category, period is a year. It adds meaningful context for the main parameters, though response_format is not explained.

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?

Clearly states the tool compares electricity tariffs across multiple municipalities by BFS numbers, category, and year. It uses specific verbs and resource, and distinguishes from sibling tools like tariff_get_by_municipality (single) and tariff_get_median_* (aggregated).

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

Usage Guidelines4/5

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

Explicitly mentions use cases: procurement, benchmarking, school-network analysis. Does not explicitly state when not to use or list alternatives, but context from siblings makes it clear.

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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