Skip to main content
Glama

Register a water recipe

register_water

Register a custom or commercial water formulation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ghNoGeneral hardness (GH) in ppm
khNoKarbonate hardness (KH) in ppm
tdsNoTDS in ppm
nameYesWater formulation name, e.g. Lotus Light & Bright, Third Wave Water
typeNoType, e.g., mineralized, tap, distilled, RO
notesNoAdditional notes
sodiumNoSodium concentration in ppm
calciumNoCalcium concentration in ppm
magnesiumNoMagnesium concentration in ppm

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
messageYes
water_idYes

TDQS

B3.1/5.0
Behavior2/5

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

The annotations already convey that this is a non-read-only, non-idempotent write operation, and the description adds no behavioral context beyond the word 'Register'. It does not disclose duplicate handling, whether an entry is created, or any side effects, though it does not contradict the annotations.

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 one short sentence with no filler or repetition. Every word, including 'custom or commercial', adds some information about what can be registered.

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 schema covers fields and units, and an output schema exists, so the minimal description is functional for a straightforward creation tool. However, it leaves contextual gaps such as duplicate-name behavior or the relationship between hardness values and mineral concentrations, making it adequate but not complete.

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?

The input schema has 100% coverage, with descriptions for GH, KH, TDS, name, type, notes, calcium, and magnesium. The description contributes no additional parameter meaning, so it stays at the baseline of 3.

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?

The description uses a specific verb ('Register') and a concrete resource ('water formulation'), so the agent can tell it from sibling registration tools like register_coffee or retrieval tools like list_waters. It does not explicitly mention 'recipe' or contrast it with list_waters, but the core purpose is unmistakable.

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

Usage Guidelines2/5

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

There is no guidance about when to choose this tool over alternatives, such as using list_waters for retrieval or register_coffee for other entities. 'Custom or commercial' gives a slight scenario hint, but no conditions, prerequisites, or exclusions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.4/5.0
Disambiguation4/5

Most tools target a clearly distinct resource and action, and the list/register/update/set tool families are easy to tell apart. The closest pair is diagnose_preview and diagnose_shot, which are well-described but similar enough in name that an agent could select the wrong one.

Naming Consistency4/5

The overwhelming majority of tools follow a consistent verb_noun pattern (list_beans, register_grinder, update_shot, set_active). Minor exceptions like grinder_math and kb_changelog lack the imperative verb prefix, but they are readable and do not create real confusion.

Tool Count2/5

34 tools is above the 25+ threshold and feels heavy even though the domain is fairly rich. The many parallel list_* and register_* tools for beans, grinders, machines, scales, waters, programs, and recipes could plausibly be consolidated or trimmed without losing core capability.

Completeness3/5

The core shot lifecycle is well covered: log, update, delete, diagnose, and list shots, plus bean registration and maintenance tracking. However, most registered entities lack update/delete tools, and get_rule has no corresponding list_rules tool, leaving some obvious workflow gaps that agents must work around.

Resources