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HortOS (Australia)

Price a plant list

price_plant_list
Read-only

Price a whole plant list or planting schedule from wholesale growers' live stock lists: each line matched to a grower, size and trade price, with the growers near the job preferred. Returns a link to the priced list on HortOS. IMPORTANT: this does not place an order. Give the person the link: they open it, check the lines and press send, and each grower then confirms stock and freight.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobNoOptional: a name for the job or site.
listYesThe plant list as text, one plant per line with quantity, name and pot size, e.g. '40 x Lomandra Tanika 140mm'.
nearNoOptional: the job's suburb, town or postcode, so growers near the job are used.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already mark readOnlyHint and openWorldHint, and the description adds important behavior beyond those: it does not place an order, returns a link on HortOS, and requires the person to review and send before grower confirmation. This meaningfully clarifies the workflow without contradicting 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 three focused sentences: core action, return value, and the critical non-ordering caveat. It is front-loaded and every sentence earns its place.

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

Completeness5/5

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

For a simple 3-parameter tool with readOnly/openWorld annotations and no output schema, the description covers the input, the matching behavior, the return link, and the post-call workflow. An agent has enough to invoke the tool and set expectations for the user.

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?

With 100% schema description coverage, the schema already documents job, list, and near effectively. The description adds contextual flavor such as 'growers near the job preferred' but does not materially expand parameter semantics beyond what the schema 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 names a specific verb-resource pair: 'price a whole plant list or planting schedule' from wholesale growers, and states the matching outcome and returned link. It distinguishes itself from sibling search_plants by focusing on list pricing and order hand-off, not plant search.

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?

It gives clear context for use: the tool accepts a plant list or planting schedule, matches lines to growers, and returns a link for the user to review and send. It does not explicitly say when to prefer this over search_plants, so it misses the top score.

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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