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erdos2n

Meticulous Espresso MCP Server

by erdos2n

execute_action

Send control commands to your espresso machine to start or stop shots, reset state, tare scales, preheat, and run calibrations.

Instructions

Send a control action to the machine. Actions: 'start' (begin shot), 'stop' (abort shot), 'continue' (resume), 'reset' (reset machine state), 'tare' (tare scale), 'preheat' (start heating), 'calibration' (run calibration), 'scale_master_calibration'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesThe action to execute on the machine
Behavior3/5

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

With no annotations, the description explains the immediate effect of each action (e.g., 'stop' aborts shot, 'reset' resets machine state), but it does not disclose deeper behavioral traits such as reversibility, prerequisites, failure modes, or side effects. It goes beyond a bare list but lacks full transparency.

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 two sentences: the first establishes the core purpose, and the second concisely enumerates the actions with their meanings. It is front-loaded, efficient, and contains no redundant information.

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

Completeness3/5

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

The description adequately covers the action semantics for a simple single-parameter tool, but it lacks preconditions, return value expectations, or safety notes. Since there are no annotations or output schema, the description probably should provide more context about what happens after execution or any requirements.

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 schema already covers the parameter with 100% description coverage, but the schema only provides a generic description ('The action to execute on the machine') and enum values without explanation. The tool description adds meaning to each enum value, clarifying what each action does, which is valuable enrichment.

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 'Send a control action to the machine' with a specific verb and resource, and the enumerated actions distinguish it from sibling getter/setter tools. It is not a tautology and provides a distinct purpose.

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 usage through the action list (e.g., 'start' to begin a shot), but it does not explicitly state when to use this tool versus alternatives or when not to use it. No alternative tools are referenced, so guidance is only implied.

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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