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vehemont

Stardew Save MCP

by vehemont

processing

Determines keg/jar processing needs by grouping crops into fruit, vegetable, and special categories and counting available machines.

Instructions

Keg/jar planning data: held crops grouped into fruit/veg/special (by the save's own item category) + machine counts. Modded items are excluded and listed separately.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
save_pathNoPath to a save file OR a save folder (e.g. .../Saves/Farm_123 or .../Saves/Farm_123/Farm_123). Leave empty to use the save configured at server startup (--save/--save-dir or SDV_SAVE_PATH/SDV_SAVE_DIR). The server never auto-discovers saves; one must be configured or passed explicitly.
Behavior4/5

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

The description discloses key behaviors: crops are grouped by the save's own item categories, machine counts are included, and modded items are excluded and listed separately. This adds value beyond the schema, which only describes the save_path parameter.

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?

The description is a single, well-structured sentence that conveys the core purpose without unnecessary words. It is front-loaded with the main action.

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 tool's simplicity (one parameter, no output schema), the description adequately covers the purpose and key behaviors. However, it could briefly mention the return format to help the agent interpret results.

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% and the parameter description is already detailed. The tool description does not add any extra meaning to the single parameter, so baseline 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 specifies the tool's function: providing keg/jar planning data with grouped crops and machine counts. It distinguishes itself from siblings like 'processing_planner' and 'processing_value' by focusing on held crops and item categories.

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

Usage Guidelines3/5

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

The description implies use for planning keg/jar processing but does not explicitly state when to use this tool versus alternatives, nor does it mention when not to use it.

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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