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log_hive_inspection

Log a detailed beekeeping hive inspection. ALWAYS ask for confirmation before writing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoOptional inspection date (YYYY-MM-DD)
farmIdYesThe unique farm ID
hiveIdYesThe unique hive ID
confirmNoSet to true to commit, false for dry-run preview
eggsSeenNoAre eggs/fresh brood present?
queenSeenNoWas the queen seen?
cappedSeenNoIs capped brood present?
feedStatusNoFood stores status
larvaeSeenNoAre larvae present?
varroaCountNoOptional mite count
actionsTakenNoOptional details of actions taken
idempotencyKeyNoUnique request idempotency key
honeyHarvestedOzNoOptional honey harvested in ounces

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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 largely covered. The description adds the non-obvious requirement to confirm before writing, which is genuinely useful context, but it says nothing about the non-idempotent retry implications of a write tool or the relationship between the confirmation rule and the `confirm` dry-run parameter.

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, both of which earn their place: one declares the purpose, one declares the mandatory confirmation workflow. Nothing is padded and the purpose is front-loaded.

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?

There is no output schema, and for a 13-parameter write tool the description is thin: it omits what a committed inspection affects, how dry-run differs from commit, and how it relates to neighboring beekeeping logging tools. The fully documented schema compensates for parameter-level gaps, keeping this at minimum viable.

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% across all 13 parameters, so the schema already documents each field including the confirm dry-run semantics and idempotencyKey. The description adds no additional parameter meaning, 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 a ... hive inspection') with a scope qualifier ('detailed beekeeping'), which is clearly distinguishable from sibling writes like log_honey_harvest or log_varroa_treatment. It stops short of explicitly contrasting those adjacent siblings, so it is clear but not fully differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'ALWAYS ask for confirmation before writing' is a concrete operational guideline tied to the write action, which is more than most definitions offer. However, it gives no guidance on when to use this tool versus log_varroa_treatment, log_honey_harvest, or update_queen_status, so usage selection is left to inference.

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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