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gotylergo

HortusFox MCP Server

by gotylergo

update_plant_attribute

Update a specific attribute for a plant, such as last_watered, health_state, or notes, by providing its ID and new value. Keep care records accurate with a single call.

Instructions

Directly update a plant default attribute (e.g., last_watered, last_fertilised, last_repotted, health_state, notes).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYesNew value for the attribute (for dates use YYYY-MM-DD).
plant_idYesThe unique ID of the plant.
attributeYesAttribute name (e.g., "last_watered", "last_fertilised", "last_repotted", "health_state", "notes").

Schema Changelog

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

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only states that the tool 'update[s]' an attribute. It does not mention whether the update overwrites existing values, whether it creates history entries, what permissions are needed, or what the outcome looks like.

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 a single focused sentence that is easy to parse and immediately communicates the tool's purpose with concrete examples. No unnecessary words or redundant information.

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

Completeness2/5

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

For a mutating tool with no annotations and no output schema, the description is too sparse. It lacks context about side effects, prerequisites, return behavior, and how it relates to other plant-management tools, so an agent has to infer important details.

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 coverage is 100%, so the schema already documents all three parameters. The description adds useful example attribute names, but it does not meaningfully extend the parameter semantics beyond that.

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 clearly states a specific action ('Directly update') on a specific resource ('plant default attribute') and provides concrete attribute examples. It is understandable on its own, though it does not explicitly distinguish itself from sibling tools like add_plant_log.

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?

No guidance is given about when to use this tool versus alternatives such as add_plant_log or update_inventory_amount. The word 'Directly' hints at a distinction but does not explain the appropriate context or exclusions.

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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