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arjun1194

belong-mcp

by arjun1194

get_delivery_preferences

Retrieve your delivery preferences to check the auto-approve setting for deliveries and manage delivery acceptance.

Instructions

Get delivery preferences (auto-approve deliveries setting)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It indicates a read operation ('Get') but does not disclose return format, permission requirements, or potential side effects. The parenthetical hint about the setting is minimal context but lacks explicit detail.

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 a single, front-loaded sentence with no fluff. It efficiently conveys the tool's purpose and key nuance in under 10 words, earning every character.

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?

The tool is simple (zero parameters, no output schema), but the description does not explain the return value format. The parenthetical hints at a boolean setting, but without an output schema or annotations, the agent is left guessing about the exact response structure. This is adequate for a trivial getter but has a clear gap.

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, which warrants a baseline of 4. The description adds value by clarifying that 'delivery preferences' refers to the auto-approve setting, providing semantic context beyond the empty 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 gets 'delivery preferences' and clarifies the specific setting ('auto-approve deliveries setting'). This distinguishes it from sibling tools like get_visitor_approvals or get_approvals_count, which relate to different domains.

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. The description simply states what it does, leaving the agent to infer usage context without any exclusions or alternative suggestions.

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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