get_meat_inventory
Retrieve meat processing logs and cold storage/freezer inventory. Requires farmId and apiKey authorization.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| farmId | Yes | The unique farm ID |
Retrieve meat processing logs and cold storage/freezer inventory. Requires farmId and apiKey authorization.
| Name | Required | Description | Default |
|---|---|---|---|
| farmId | Yes | The unique farm ID |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds the authorization requirement (farmId and apiKey), which is genuinely new context beyond the annotations. It says nothing about the shape/volume of results, but with annotations carrying the behavioral burden a 3 is appropriate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences, no filler, and the resource scope is front-loaded before the prerequisite. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter read tool, the description covers what is returned (processing logs and freezer inventory) and the auth requirement. It does not describe the return structure or pagination, but the overall coverage is sufficient to invoke the tool correctly, with only minor gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There is one parameter with 100% schema description coverage, so the schema fully documents farmId. The description restates the farmId requirement (and adds an apiKey that is not in the schema, likely an auth header), but adds no meaning about the parameter's format or constraints beyond the schema. Baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description gives a specific verb ("Retrieve") and names the resources precisely: meat processing logs plus cold storage/freezer inventory. This distinguishes it from the many other inventory/log siblings such as get_feed_inventory and get_egg_collections. It stops short of explicitly naming a sibling to route away from, so it lands at a clear 4 rather than 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It states a prerequisite ("Requires farmId and apiKey authorization") but gives no when-to-use guidance or alternatives among the many other get_* inventory/log tools. An agent must infer on its own when meat inventory is the right call versus feed inventory or bird batches.
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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