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ishumilin

Schwaizer BFS MCP Server

by ishumilin

get_sse_data

Fetch time-series data from the Swiss Stats Explorer API. Use dimension filters and time periods to obtain targeted statistical indicators.

Instructions

Retrieve time-series data from the Swiss Stats Explorer (SSE) API. This is a modern SDMX-based API that works well for time-series data. Use get_sse_metadata first to see available dimensions. You can filter by dimensions and time periods.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numberBfsYesBFS dataset identifier for SSE (e.g., "DF_LWZ_1")
languageNoLanguage for results and labelsen
queryNoOptional dimension filters as key-value pairs. Example: {"GR_KT_GDE": ["2581", "4001"], "LEERWOHN_TYP": ["4"]}
startPeriodNoStart period for time-series data (e.g., "2020")
endPeriodNoEnd period for time-series data (e.g., "2023")
Behavior3/5

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

No annotations are present, so the description carries the full burden. It describes the API as 'modern SDMX-based' and 'works well', but does not disclose behavioral traits like rate limits, response format, or read-only nature. It is adequate but minimal.

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?

Three sentences efficiently convey purpose, API context, and usage guidance. The mention of 'modern SDMX-based' adds slight value but is not essential. Well-structured and front-loaded.

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

Completeness4/5

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

Given the 5 parameters (1 required), no output schema, and no annotations, the description adequately covers the tool's role and prerequisite steps. It could elaborate on return values, but the context is reasonably complete.

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

Parameters3/5

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

Schema coverage is 100%, so the baseline is 3. The description adds general context about filtering by dimensions and time periods but does not provide additional meaning beyond the schema descriptions for each parameter.

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 tool retrieves time-series data from the Swiss Stats Explorer API, specifying a verb and resource. It distinguishes from siblings by recommending get_sse_metadata first, clarifying its role.

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?

The description advises using get_sse_metadata first to explore dimensions, providing clear context for when to use this tool. It lacks explicit exclusions or alternatives beyond that, but the guidance is sufficient.

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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