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marcinn2

OpenSprinkler MCP server

by marcinn2

View Logs

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Retrieve watering history logs for any date range, interpreted in the controller's local timezone, to review irrigation activity and diagnose scheduling issues.

Instructions

Get watering history logs for a date range. Dates are interpreted in the controller's local timezone.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_toYesEnd date in YYYY-MM-DD format (inclusive)
date_fromYesStart date in YYYY-MM-DD format (inclusive)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.2.6

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral disclosure burden. It adds a useful timezone interpretation detail, but does not explicitly state read-only behavior or describe the shape/volume of returned logs.

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?

Two short sentences deliver the essential purpose and the key timezone caveat without redundancy. The main action is front-loaded and every word earns its place.

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 simple two-parameter read operation, the description covers the core requirements: what is retrieved, the date-range constraint, and timezone interpretation. The lack of an output schema means some return details are unspecified, but the definition is still adequate for correct invocation.

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 description coverage is 100%, so the schema fully documents both parameters. The description adds the timezone context but no extra parameter-level meaning beyond what the schema already provides.

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 uses a specific verb ('Get') with a clear resource ('watering history logs') and a scoping condition ('for a date range'). It is immediately distinguishable from all sibling tools, none of which are log-related.

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 clearly indicates when to use the tool: when watering history logs are needed for a date range. It does not explicitly name alternatives or exclusions, but no sibling tool overlaps with this purpose.

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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