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GridGarden plant catalog (keys for planting)

studio_plant_catalog
Read-only

Search the GridGarden plant catalog (346 species) and get the keys you can pass as plants to studio_create_design. Filter by text, category, edible, sun, suitability for raised beds. Free, read-only. Returns at most 40 plants per call (see total).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoSearch text in Slovak, Czech, English, German or Latin name (e.g. "basil", "rajčina").
sunNoRequired light.
limitNo
edibleNotrue = only edible plants.
categoryNo
raised_bed_okNotrue = only plants suitable for raised beds.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint=false, so the safety profile is covered; the description adds genuinely new behavior: 'Free', a hard result cap of 40 plants per call, and a total count to check (implying a truncated result set the caller must handle). Return shape details beyond that are absent, keeping it at 4.

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?

Three tight sentences, front-loaded with search scope and outcome, then filters, then cost/behavior, then the result cap. Nothing is redundant and every clause carries information.

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?

With no output schema, the description carries the return burden and does so partially: it discloses the 40-item cap, references a total, and identifies the key field for the downstream tool. It does not describe the per-item shape (name, keys, attributes), which an agent building a `plants` payload would benefit from.

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 67% and the description enumerates the filter dimensions (text, category, edible, sun, raised beds), which mirrors the schema names rather than adding format, default, or combination semantics. `limit` is never mentioned in the description, and no guidance is given on how the filters compose. Baseline 3 is appropriate.

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?

States a specific verb (Search) and resource (GridGarden plant catalog), quantifies the corpus (346 species), and states the concrete outcome: the keys to pass as `plants` to studio_create_design. That downstream link lets an agent place it precisely against siblings like studio_create_design and studio_catalog_bricks.

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?

Makes the when-to-use clear by tying it to studio_create_design's `plants` argument, and notes it is free and read-only so the agent knows it is safe to call speculatively. It offers no explicit when-not-to-use or named alternative catalog, so it stops short of 5.

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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