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Live inventory (fresh, talls, forecast, teens)

get_inventory
Read-onlyIdempotent

Everything for sale right now in one call: the full live clone inventory as shown on /live-inventory (fresh rooted clones, talls/clearance, 17-day rooting forecast per strain, clone ordering terms) plus teens — the ready-to-flip teen inventory as shown on /teen-inventory. Use for "what's available?"; more detail than get_availability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 carry the read-only, idempotent, non-destructive profile, so the description's burden is lower and it adds real context: the call returns the live aggregated view 'as shown on /live-inventory', includes an added forecast and teen section, and mirrors a public page. It doesn't disclose response size or freshness/volatility, but for an aggregate read tool with this annotation set, the behavioral disclosure is well above threshold.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The key idea is front-loaded ('Everything for sale right now in one call') and each subsequent clause earns its place by naming a distinct content area. The parenthetical is a little dense, but there is no filler or verbosity.

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?

Given zero parameters, no output schema, a minimal input schema, and complete safety annotations, the description adequately covers what the tool returns, where the data comes from, and when to use it. The only notable gap is not guiding agents who only want teens to the get_teen_inventory sibling, which would round out the routing story.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has 0 parameters, so the schema coverage baseline is 4. The description reinforces that the tool is self-contained — 'everything in one call' — which is exactly the parameter semantics an agent needs for a no-input tool.

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 states a specific verb and resource ('everything for sale right now in one call') and enumerates the exact content: fresh rooted clones, talls/clearance, 17-day rooting forecast, clone ordering terms, and teens. It also differentiates from siblings by saying it is 'more detail than get_availability' and clarifying that it subsumes the teen inventory view, so an agent can tell it apart from get_teen_inventory without opening schemas.

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 an explicit use case ('Use for what's available?') and identifies one alternative (get_availability) along with its distinguishing feature ('more detail than get_availability'). It does not go the last step of saying when NOT to use it, nor does it explicitly point the agent to get_teen_inventory for the teen-only case, so it stops just short of a 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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