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KEILTY Realty Management

Check whether a property fits KEILTY

check_fit
Read-only

Checks whether a rental property is a fit for KEILTY management. Returns fit (yes, nurture, waitlist or no), the reason, the recommended service and the next step. Call this before request_rental_evaluation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCommunity the property is in, e.g. Kingston
unitsNoNumber of rental units
property_typeYes
owner_lives_there_nowNoTrue if the owner currently lives in the property
self_manage_after_leaseNoTrue if the owner only wants a resident placed and will manage the tenancy

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful behavior the annotations do not: the enumeration of possible outcomes (yes, nurture, waitlist, no) and the shape of the response (reason, recommended service, next step) — valuable since no 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.

Conciseness5/5

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

Three tight sentences: purpose first, return values second, sequencing instruction last. Every sentence carries information and nothing is repeated from the schema or annotations.

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?

For a read-only classification tool with no output schema, the description supplies the return-value vocabulary the agent needs to interpret results. The remaining gap is the absence of any note on how the optional booleans affect the verdict, but the required inputs and outcome set are adequately covered.

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 description coverage is 80%, so the schema already documents city, units, owner_lives_there_now and self_manage_after_lease. The description adds no parameter-level meaning at all — it never explains how inputs like owner_lives_there_now or self_manage_after_lease influence the fit verdict. Baseline 3 is appropriate when the schema carries the load.

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

Purpose4/5

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

States a specific verb and resource ('Checks whether a rental property is a fit for KEILTY management') and even names the decision space. It only weakly differentiates from siblings — the differentiation comes from sequencing against request_rental_evaluation rather than from describing what uniquely belongs to this tool.

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 explicit ordering guidance: 'Call this before request_rental_evaluation.' That tells the agent when to invoke it relative to a named sibling. There is no when-not guidance or explanation of what happens on a 'no' result, 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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