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ramprasadchauhan

Farm OS MCP Server

list_livestock_by_farm

Retrieve livestock inventory for a specific farm by providing the farm ID to manage and monitor animal populations.

Instructions

List all livestock for a specific farm.

Args: farm_id: The unique identifier for the farm

Returns: List of livestock belonging to the farm

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
farm_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool lists livestock, implying a read-only operation, but does not cover aspects like pagination, error handling, authentication needs, or rate limits. This is a significant gap for a tool with no annotation coverage.

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?

The description is appropriately sized and front-loaded, with a clear purpose statement followed by structured 'Args' and 'Returns' sections. Every sentence earns its place, and there is no redundant or verbose content.

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?

Given the tool's low complexity (one parameter) and the presence of an output schema (which handles return values), the description is minimally adequate. However, it lacks details on behavioral traits and usage guidelines, making it incomplete for optimal agent operation without annotations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaning by specifying that 'farm_id' is 'The unique identifier for the farm', which clarifies its purpose beyond the schema's type declaration. With 0% schema description coverage and only one parameter, this compensates adequately, though it could provide more context like format examples.

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 clearly states the verb 'List' and resource 'livestock for a specific farm', making the purpose understandable. However, it does not explicitly differentiate from sibling tools like 'get_livestock_info' or 'list_fields_by_farm', which could cause confusion about when to use each.

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?

No guidance is provided on when to use this tool versus alternatives such as 'get_livestock_info' or 'list_all_farms'. The description implies usage for a specific farm but lacks explicit context, exclusions, or prerequisites, leaving the agent to infer based on tool names alone.

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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