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Analyze Autopay Adoption

analyze_autopay_adoption
Read-onlyIdempotent

Autopay / ePay enrollment — how many residents are on automatic payments.

Runs TenantAutoPayConfiguration (report 553): count enrolled, active this month, and breakdowns by payment type (Total vs Current Balance Due vs fixed amount), frequency, and payment-day spread. A collections-efficiency lever. Use for "how many residents are on autopay", "autopay adoption", "ePay enrollment breakdown". Portfolio-wide only (RM doesn't expose a property column on this report).

``location`` (optional): a Rent Manager Location ID, a comma-separated
list, or ``"all"`` to run across every Location on this connection (see
``list_locations``). Blank = all Locations if the connection has several,
else its only Location. Output is labelled per Location; a Location that
can't be reached is listed as skipped. IDs (property, tenant, ...) belong
to one Location, so pass that Location when you filter by one.

Input Schema

NameRequiredDescriptionDefault
locationNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / location
      Added value: +{
      +  "default": "",
      +  "title": "Location",
      +  "type": "string"
      +}
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the bar is lower; the description still adds real behavioral detail — the underlying report ID, that the report cannot be sliced by property, that results are labelled per Location, and that unreachable Locations are reported as skipped rather than failing. It does not cover output format or timing, but output schema exists.

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 lead sentence states the resource and metric immediately, followed by sourcing, use cases, and scope caveat — well front-loaded with no filler sentences. It is on the long side and the parameter block's prose is denser than necessary, costing it the top mark.

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?

For a single-optional-parameter read tool with an output schema, everything an agent needs is present: what is counted, what breakdowns come back, why the property filter is absent, and how multi-Location output and failures behave. No material gap remains.

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

Parameters5/5

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

Schema coverage is 0%, so the description must carry the parameter alone — and it does fully: accepted forms (single Location ID, comma-separated list, or "all"), the blank default (all Locations if multiple, else the only one), and the pointer to list_locations. It also explains the interaction between Location-scoped IDs and filtering, which the schema cannot convey.

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?

Names a specific verb+resource (analyze autopay enrollment) and pins it to a concrete data source (TenantAutoPayConfiguration, report 553) with exact metrics: enrolled count, active-this-month, and breakdowns by payment type, frequency, and payment day. This is clearly separable from siblings like analyze_payment_trends or analyze_rent_composition.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives concrete trigger phrasings ("how many residents are on autopay", "autopay adoption", "ePay enrollment breakdown") and a framing ("a collections-efficiency lever"), plus an explicit scope limit: portfolio-wide only because RM exposes no property column. No sibling is named as an alternative, so it falls short of a 5.

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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