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Find Hawaiʻi lots in an area

search_lots
Read-only

Use this when someone wants nearby Hawaiʻi lots that fit zoning, size, flood zone or Special Management Area filters, around a lot, an address or a TMK prefix.

Input Schema

NameRequiredDescriptionDefault
latNo
lonNo
smaNoin or out of the Special Management Area
floodNoin: center in a FEMA special flood hazard area. out: not.
limitNoUp to 50. Default 25.
islandNoKauaʻi, Oʻahu, Maui County or Hawaiʻi Island. Not needed with tmk_prefix or near_tmk.
zoningNoText to match in the zoning code or name, e.g. R-4, Agriculture, Resort
near_tmkNoSearch around this lot
radius_mNoMeters around near_tmk or lat and lon. Default 500, up to 3000.
max_acresNo
min_acresNo
tmk_prefixNoStart of a TMK: island, zone, section and optionally plat, e.g. 4-4-2 or 4-4-2-016
near_addressNoOr around this Hawaiʻi street address

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety is covered. The description adds no behavioral detail beyond that: nothing about result ordering, how radius defaults apply, whether anchors can be combined, or what happens when no anchor is supplied — which matters given all 13 parameters are optional.

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?

A single front-loaded sentence that names the use case before the parameters. It is dense but not padded; a slight loss for being one long run-on with no separation between the filter and anchor concepts.

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

Completeness3/5

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

For a 13-parameter, zero-required spatial search with no output schema, the description should at minimum clarify the anchor set (it lists three of four, missing lat/lon) and whether anchors are one-of or combinable. It covers the common path but leaves the calling contract under-specified.

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?

With 69% schema coverage, the schema already documents most parameters. The description usefully groups them into filter dimensions versus location anchors, but omits lat/lon entirely, says nothing about how limit/radius_m interact with the anchors, and adds no syntax beyond the schema. This is roughly baseline value.

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 action (find nearby lots) on a specific resource (Hawaiʻi lots) with the filter dimensions (zoning, size, flood, SMA) and anchor modes (lot, address, TMK prefix). It is clearly a spatial search, distinct from siblings like get_parcel or get_listing_facts, though it never explicitly says how it differs from them.

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?

"Use this when someone wants..." gives a concrete triggering scenario and enumerates the accepted search anchors. It lacks any when-not guidance or explicit routing to the sibling tools (get_parcel, get_clip), so it stops short of full alternative comparison.

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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