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panoskiriakopoulos-sys

Rizerve MCP Server

Get Property Statistics

rizerve_get_property_stats
Read-onlyIdempotent

Retrieve detailed statistics for a property, including page views, bookings, revenue, and occupancy rate, for any period or date range.

Instructions

Get detailed statistics for a single property.

Includes page views, bookings, conversion rate, revenue, average stay length, and occupancy rate.

Args:

  • slug (string): Property public slug

  • period (string): Time period - "7d", "30d", "90d", "365d", or "YYYY-MM-DD/YYYY-MM-DD" (default: "30d")

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

Returns: Property stats object with all metrics.

Examples:

  • "How's the villa doing this month?" → rizerve_get_property_stats({ slug: "beachfront-villa", period: "30d" })

  • "Show me villa stats for all of 2026" → rizerve_get_property_stats({ slug: "beachfront-villa", period: "2026-01-01/2026-12-31" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesProperty public slug (e.g. "beachfront-villa")
periodNoTime period: "7d", "30d", "90d", "365d", or date range "YYYY-MM-DD/YYYY-MM-DD"30d
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 declare readOnlyHint, idempotentHint, and destructiveHint false. Description adds value by listing returned metrics and providing examples, clarifying behavior beyond 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?

Well-structured with summary, metric list, args, returns, and examples. Concise yet informative, no wasted sentences.

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?

No output schema, but description mentions 'all metrics' and lists them. Provides enough context for typical usage, though lacks edge cases or error scenarios.

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%, but description adds examples for period usage and format, and clarifies response_format options, enhancing understanding beyond schema alone.

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?

Description clearly states 'Get detailed statistics for a single property' and lists specific metrics, distinguishing it from specialized siblings like rizerve_get_occupancy_report and rizerve_get_revenue_report.

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 on when to use this tool versus alternatives such as rizerve_get_occupancy_report or rizerve_get_revenue_report. Lacks exclusion criteria or context for selection.

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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