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List crop plantings

farmbrite_list_crops
Read-only

List crop plantings (plant, field/plot, bed, quantity, planting and expected harvest dates, growth stage). GET /crops.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number, from 1 (default 1). Pass the previous reply's next_page.
limitNoResults per page, 1-100 (default 25).
filtersNoExtra filters as {field: value}, using a field name from the records. A plain value means equals; 'op:value' applies an operator, op being one of eq, ne, gt, gte, lt, lte, like, in, nin (e.g. {"created_at": "gte:2026-01-01"} or {"name": "like:Bessie"}). Farmbrite silently ignores an unknown field or invalid value, so check the result.
plot_idNoOnly plantings in this field/plot id (a Farmbrite id string).
sort_byNoField to sort by, e.g. created_at.
plant_idNoOnly plantings of this plant type id (a Farmbrite id string).
sort_dirNoSort direction.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, covering the safety profile. The description adds the returned field list and the endpoint ('GET /crops'), which is useful context, but does not disclose pagination behavior, rate limits, or filtering semantics beyond what the schema provides.

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 description is a single, front-loaded sentence that efficiently conveys the core purpose and returned fields. The trailing 'GET /crops' is a minor implementation detail but does not detract significantly from clarity.

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 the full schema description coverage and annotations covering safety, the description is largely complete: it identifies the resource, lists returned fields, and is sufficient for an agent to recognize the tool. It could mention filtering/pagination at a high level, but the schema already covers those details.

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 all seven parameters, including the nested filters object. The description adds no parameter-level meaning beyond listing returned fields, so the baseline score of 3 is 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 ('List') and resource ('crop plantings') and enumerates the fields returned, making the tool's function clear. However, it does not differentiate from related siblings like farmbrite_list_plants or farmbrite_list_plots, leaving ambiguity about when this tool is preferred over those.

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 offers no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. It merely states what the tool does, leaving the agent to infer usage from the name and schema.

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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