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CryptoCultCurt

Appfolio MCP Server

get_tenant_ledger_report

Generate a tenant ledger report for specified occupancies over a date range, with optional transaction and column filters.

Instructions

Generates a report on tenant ledgers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
parties_idsYesRequired. Specify the occupancies to include.
occurred_on_fromYesRequired. The start date for the reporting period (YYYY-MM-DD).
occurred_on_toYesRequired. The end date for the reporting period (YYYY-MM-DD).
transactions_shownNoFilter transactions shown. Defaults to "tenant"tenant
columnsNoArray of specific columns to include in the report
Behavior1/5

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

No annotations are provided, and the description does not disclose any behavioral traits such as read-only nature, allowed call frequency, data destruction, or permissions. The agent gets no insight into side effects or constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, efficiently front-loading the core purpose. While short, it avoids verbosity, but the extreme brevity borders on under-specification.

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

Completeness1/5

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

With no output schema, 5 parameters (including nested objects), and over 40 sibling tools, the description is drastically incomplete. It does not explain the report structure, column options, or data scope, leaving an AI agent with insufficient context to decide and use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for each parameter. The description adds no extra meaning beyond the schema (e.g., does not explain how parties_ids or columns interact). Baseline score of 3 is appropriate as schema does the heavy lifting.

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

Purpose3/5

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

The description states 'Generates a report on tenant ledgers', which clearly identifies the tool's resource but is generic. Among many sibling report tools (e.g., get_resident_financial_activity_report), it fails to specify what distinguishes a tenant ledger report from others, making it vague in context.

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 given on when to use this tool vs alternatives, no prerequisites or conditions mentioned. The description provides no context for appropriate usage scenarios.

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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