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get_egg_collections

Read-onlyIdempotent

Retrieve daily egg production logs and collection counts. Requires farmId and apiKey authorization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional pagination limit (default 50, max 500)
cursorNoOptional pagination cursor
farmIdYesThe unique farm ID
endDateNoOptional end date filter (YYYY-MM-DD or ISO, interpreted in farm timezone).
startDateNoOptional start date filter (YYYY-MM-DD or ISO. For "this week", pass Monday-Sunday dates, interpreted in farm timezone).

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, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is covered elsewhere. The description adds a useful auth requirement (apiKey authorization), but says nothing about pagination behavior or result shape beyond what the schema already encodes.

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, zero filler, with the core action front-loaded and the constraint second. Nothing needs trimming.

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?

With no output schema, the description carries some burden for describing returns; it does name 'logs and collection counts' but gives no shape, ordering, or pagination expectations. Annotations and full parameter coverage compensate for much of the rest, leaving it adequate but thin.

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 fully documents limit, cursor, farmId, startDate and endDate including timezone semantics. The description only restates the farmId requirement, adding no meaning beyond the structured fields; baseline 3 applies.

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 and resource ('Retrieve daily egg production logs and collection counts'), which is clearly distinct from the write sibling log_eggs. It does not explicitly name or contrast with any sibling, so it stops short of a 5.

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?

There is no guidance on when to use this tool versus alternatives (e.g., log_eggs for writing, or date-range scoping decisions). The only condition stated is a permission prerequisite ('Requires farmId and apiKey'), which is not usage guidance.

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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