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create_hive

Register a new beehive in an apiary yard. ALWAYS ask for confirmation before writing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name or identifier of the hive (e.g. Hive 5B)
farmIdYesThe unique farm ID
sourceYesSource origin of the colony
yardIdYesThe unique apiary yard ID
confirmNoSet to true to commit, false for dry-run preview
colorCodeNoOptional color marker hex code
idempotencyKeyNoUnique request idempotency key
dateEstablishedNoOptional date established (YYYY-MM-DD)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, openWorldHint=false, and idempotentHint=false, so the safety profile is covered. The description adds a genuinely useful behavioral requirement (mandatory confirmation before writing), but says nothing about the dry-run/confirm semantics or idempotency behavior the schema implies. Adds some value over annotations but not rich context.

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 short sentences with zero waste; the core action is front-loaded and the safety requirement follows immediately. Nothing to trim.

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

Completeness3/5

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

For an 8-parameter mutation tool with no output schema, the description is thin: it never indicates what a successful call returns (e.g. the created hive ID) or how dry-run mode responds. The confirmation sentence covers the most important risk, but return/response expectations and idempotency handling are left to inference.

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 all 8 parameters are documented in the schema, including the enum on 'source' and the dry-run meaning of 'confirm'. The description contributes no additional parameter meaning, which is acceptable at full coverage but earns only the baseline.

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?

States a specific verb+resource: 'Register a new beehive in an apiary yard.' This clearly distinguishes it from read siblings like get_beekeeping_apiary and from adjacent log_* tools such as log_hive_inspection. It stops short of naming the alternative tools an agent might confuse it with.

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 only guidance is procedural ('ALWAYS ask for confirmation before writing'), which is a precondition rather than selection guidance. Nothing says when this tool is preferred over siblings or under what circumstances a hive should be registered rather than inspected or logged. An agent gets no routing help.

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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