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panoskiriakopoulos-sys

Rizerve MCP Server

Get Occupancy Report

rizerve_get_occupancy_report
Read-onlyIdempotent

Retrieve occupancy rates across properties for a specified time period, with optional filter by property slug. Output as markdown or JSON.

Instructions

Get occupancy rates across properties.

Args:

  • period (string): Time period - "30d", "90d", "365d" (default: "30d")

  • property_slug (string): Filter to single property (omit for all)

  • response_format ('markdown' | 'json'): Output format (default: 'markdown')

Returns: Overall occupancy rate with per-property breakdown.

Examples:

  • "What's our occupancy this month?" → rizerve_get_occupancy_report({ period: "30d" })

  • "Occupancy for just the villa" → rizerve_get_occupancy_report({ property_slug: "beachfront-villa" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoTime period: "7d", "30d", "90d", "365d", or date range "YYYY-MM-DD/YYYY-MM-DD"30d
property_slugNoFilter to single property by slug (omit for all properties)
response_formatNoOutput format: 'markdown' for human-readable or 'json' for machine-readablemarkdown
Behavior4/5

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

Annotations already provide readOnlyHint, idempotentHint, etc. The description adds value by detailing the return format ('Overall occupancy rate with per-property breakdown') and output formats (markdown/json). No contradictions with annotations.

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 efficiently structured with Args, Returns, and Examples sections. Every sentence adds value, and critical information is front-loaded. No unnecessary fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (3 parameters, no output schema, rich annotations), the description is complete. It explains parameters, return value, and provides practical examples. No missing details for an agent to invoke 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?

Schema coverage is 100%, so baseline is 3. The description adds default values, valid period options (though missing '7d' and date range from schema), and examples of usage in context. This exceeds the schema's parameter descriptions.

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 'Get occupancy rates across properties' with specific verb and resource. It distinguishes from sibling tools like get_property_stats and get_revenue_report through its unique focus on occupancy. Examples reinforce the purpose.

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?

The description implies usage for occupancy reports but does not explicitly state when to use this tool over siblings (e.g., get_property_stats or get_revenue_report). No when-not-to-use guidance or alternatives are mentioned.

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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