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erdos2n

Meticulous Espresso MCP Server

by erdos2n

save_profile

Permanently save a validated espresso profile to the machine's internal storage, requiring complete schema with stages and exit triggers.

Instructions

Permanently save a profile to the machine's internal storage. Validates the schema before saving. Profile JSON must include: name (string), id (UUID v4), author (string), author_id (UUID v4), temperature (number, Celsius), final_weight (number, yield grams), previous_authors ([]), variables ([]), version (1), stages (array). Each stage needs: name, key, type ("flow"|"pressure"), dynamics.points ([[time,value],...] starting at [0,x]), dynamics.over ("time"), dynamics.interpolation ("linear"|"curve"), exit_triggers (array). Last stage must exit on {type:"weight", value:}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profileYesFull profile JSON object to save permanently on the machine
Behavior4/5

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

With no annotations provided, the description carries full responsibility. It discloses that the operation is a permanent write, that schema validation occurs, and details the required structure. However, it does not mention whether saving could overwrite an existing profile, auth requirements, or return value on success/failure.

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 front-loaded with the purpose, then validation behavior, then a well-organized schema breakdown. Every sentence provides necessary detail and no filler is present.

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 fully compensates for the sparse schema by enumerating the entire required JSON structure, which is essential for a complex nested input. It lacks explicit return/error information, but for a save operation this is less critical. Overall, it is nearly complete.

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?

The schema only says 'Full profile JSON object' with no internal structure, but the description adds an exhaustive list of required fields, types, nested stage structure, and constraints such as the last stage's exit condition. This greatly enriches meaning beyond the schema.

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 the action: 'Permanently save a profile to the machine's internal storage.' It uses a specific verb 'save' and resource 'profile', and is easily distinguished from sibling tools like load_profile, update_profile, and delete_profile.

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 provides clear context: the tool writes a profile permanently. It does not explicitly mention when not to use it or contrast with update_profile, but the permanent-save framing implies creation rather than modification. Sibling names help infer alternatives, so context is clear.

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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