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FadiSheh

Lufa Farms MCP Server

by FadiSheh

lufa_auth_status

Check for an active Lufa Farms session via a live request. Confirms authentication validity and indicates if re-login is needed.

Instructions

Check whether there is an active Lufa Farms session.

This makes a live request rather than just checking for a saved cookie. If a note field is present, the session cookie exists but its validity couldn't be fully confirmed (see the note text for why) — tool calls may still work, or may come back asking for a re-login.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations provided, the description fully explains the behavior: it makes a live request, and if a `note` field is present, session validity is uncertain, with tool calls potentially still working or asking for re-login. This transparently conveys edge cases and what to expect.

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 concise and well-structured, front-loading the main purpose in the first sentence and then adding necessary nuance in the following sentences. Every sentence contributes value without unnecessary detail.

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?

For a simple status-check tool with no parameters and no output schema, the description adequately covers purpose and the caveat around the `note` field. It could be slightly more complete by defining the primary response field (e.g., a boolean indicating active status), but overall it provides enough context for an agent to use the tool correctly.

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 tool has zero parameters, so the baseline is 4. The description correctly provides no parameter information, which is appropriate given the empty input schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool checks whether there is an active Lufa Farms session, using a specific verb and resource. It distinguishes itself from siblings like lufa_logout and lufa_get_products by focusing on session status.

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?

No explicit when-to-use or alternative guidance is given, but the description implies it is the go-to tool for checking session status. It mentions making a live request rather than relying on a saved cookie, which gives some context on its appropriate use, but lacks direct comparison with alternatives.

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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