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Amazing Cultivation MCP

Amazing Cultivation MCP

acsmcp_methods

List supported ACS MCP methods and their purpose so AI clients can choose the correct method for observing or controlling the game.

Instructions

List supported ACS MCP methods and their purpose.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.2

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full disclosure burden. 'List' implies a safe read-only operation with no side effects, which is the main behavioral trait, but the description says nothing about return shape (names only vs. signatures), ordering, or whether output could be large — minor gaps for a zero-parameter listing.

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?

A single front-loaded sentence with no filler. Every word earns its place and the key noun ('methods') appears immediately.

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?

For a zero-parameter, annotation-free, output-schema-free discovery tool, the description covers what is needed to invoke it correctly. The only missing piece is the relationship to siblings acsmcp_call and acsmcp_guide, which would help an agent sequence discovery then invocation.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. No competing parameter semantics are introduced.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('List') and resource ('ACS MCP methods') plus the value returned ('their purpose'). An agent knows exactly what comes back, but the description never distinguishes this discovery listing from acsmcp_guide, which plausibly also serves documentation needs.

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?

Usage is only implied: an agent would infer this is the discovery step before acsmcp_call, but the description never says so or names the alternative. There are no explicit when-to-use or when-not-to-use conditions.

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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