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malkreide

swiss-food-safety-mcp

by malkreide

blv_search_animal_diseases

Read-onlyIdempotent

Search Swiss notifiable animal disease cases by canton and year to report on disease occurrence since 1991.

Instructions

Search notifiable animal disease cases in Switzerland since 1991 (InfoSM).

Use case: report on disease occurrence by canton and year, e.g. "were there avian influenza cases in Bern in 2024?".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cantonNoTwo-letter canton abbreviation (e.g. "ZH", "BE"). Empty = all cantons.
diseaseNoDisease name filter (partial match, e.g. "Maul", "Vogelgrippe"). Empty = all.
year_fromNoStart year (default 2020).
year_toNoEnd year (default 2024).
limitNoMaximum results (default 50).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint. The description adds useful context (data from 1991, InfoSM source) without contradicting annotations. Could add pagination or result details but not required.

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 sentences: the first defines the tool, the second gives a concrete use case. No wasted words, front-loaded with essential information.

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?

The description covers the tool's scope (search notifiable diseases since 1991), typical use case, and parameters. Output schema exists to describe return values. Could mention whether results are aggregated or individual cases.

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% with each parameter described. The description adds no additional parameter meaning beyond what the schema already provides, so the baseline of 3 is appropriate.

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 it searches notifiable animal disease cases in Switzerland since 1991 (InfoSM) and provides a concrete use case with example query. It distinguishes from siblings like blv_get_avian_influenza which is more specific.

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 explicitly indicates the use case (report disease occurrence by canton and year) and gives an example, but does not mention when not to use or compare to alternative sibling tools.

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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