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log_honey_harvest

Log honey extracted and optionally add directly to stock inventory. ALWAYS ask for confirmation before writing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoOptional harvest date (YYYY-MM-DD)
farmIdYesThe unique farm ID
hiveIdNoThe unique hive ID (optional if yardId is provided)
weightYesHarvested honey weight in lbs (positive number)
yardIdNoThe apiary yard ID (optional if hiveId is provided)
confirmNoSet to true to commit, false for dry-run preview
framesPulledNoOptional count of frames pulled (integer)
supersPulledNoOptional count of honey supers pulled (integer)
addToInventoryNoAutomatically add honey weight to inventory stock (defaults to false)
idempotencyKeyNoUnique request idempotency key

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=false, so the safety profile is covered. The description adds important behavioral context beyond annotations: the requirement to always ask for confirmation before writing, and the optional inventory side effect.

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 sentences, front-loaded with the core action and the optional side effect. Every sentence earns its place: the first states the purpose, the second states a critical invocation constraint.

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 10-parameter write tool with no output schema, the description covers the essential purpose and the confirmation requirement. It relies on the 100% schema coverage for parameter details, which is reasonable, though it could mention the hiveId/yardId dependency or dry-run confirm behavior to be fully self-contained.

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 already documents all ten parameters, including the confirm, addToInventory, and idempotencyKey options. The description only touches on 'add directly to stock inventory' (addToInventory) and adds no syntax or format details beyond the schema, making the baseline 3 appropriate.

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 states a specific verb and resource: 'Log honey extracted and optionally add directly to stock inventory.' It is clear what the tool does and the optional inventory side effect, but it does not explicitly differentiate itself from any sibling tool (e.g., log_hive_inspection or log_varroa_treatment).

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?

The description gives no guidance on when to use this tool versus alternatives in the sibling list. 'ALWAYS ask for confirmation before writing' is a behavioral instruction, not a usage condition that helps an agent choose between tools.

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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