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mame0001

sakenowa-mcp

by mame0001

sync_sakenowa_data

Refreshes the Sakenowa open dataset cache and reports its scale, including data count, year-month, and attribution. Use with force=True to pull the latest monthly snapshot immediately.

Instructions

Fetch/refresh the Sakenowa open dataset into a local cache and report its scale. The cache auto-refreshes weekly, so you rarely need this — call it with force=True only to pull the latest monthly snapshot immediately.

Returns dataset counts, the data's year-month, and the required attribution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
forceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Discloses weekly auto-refresh behavior and the effect of force parameter, plus return values (dataset counts, year-month, attribution). No annotations provided, but description fully covers behavioral expectations.

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?

Three sentences: purpose, usage guideline, return summary. No redundant text; every sentence adds value. Front-loaded with the primary action.

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?

Given the tool's simplicity, the description covers enough for an agent to know when to invoke it, what it does, how parameters affect behavior, and what to expect in return. Output schema existence further reduces need for return detail.

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

Parameters5/5

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

Although schema coverage is 0%, the description explains the only parameter (force=True) and its specific purpose. Single boolean parameter is well-documented with usage context.

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 uses a specific verb ('Fetch/refresh') and resource ('Sakenowa open dataset'), clearly distinguishing this data sync tool from sibling tools like compare_sake or search_sake which operate on individual sake items.

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

Usage Guidelines5/5

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

Explicitly states when to use ('rarely needed') and when to use force=True ('to pull the latest monthly snapshot immediately'). Provides clear context and a specific condition for invocation.

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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