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Headed In: Florida trips, water and weather

Florida local picks

find_places
Read-onlyIdempotent

Things to do in Florida (Tampa Bay, Miami, Naples-Fort Myers, Sarasota, the Space Coast, Jacksonville-St. Augustine, the Panhandle, Central Florida (Orlando, The Villages, Ocala), plus weird and worth-the-drive spots statewide): local picks for food, beaches, outdoors, only-in-Florida oddities and worth-the-drive spots, closest first (give lat/lon), with community thumbs and live crowd/parking/water/red-tide reports when available.

Input Schema

NameRequiredDescriptionDefault
latNoLatitude of where the person is or will be
lonNoLongitude
langNoLanguage for the descriptions and category names: en (default), es (Spanish), pt (Portuguese). Use the language the person is writing in. Place names stay as on the sign.
limitNoHow many to return
categoryNoeat, beach, outside, florida (only in Florida), weird, road (worth the drive)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, open-world, non-destructive behavior. The description adds that results are distance-sorted when lat/lon are supplied and that community thumbs and live reports are included only when available, which is useful context beyond the annotations; it does not address pagination/rate limits, but those are less critical here.

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

Conciseness3/5

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

The description front-loads the purpose but is one long sentence with nested parentheticals listing regions and categories. The content is largely relevant, yet the structure is dense and harder to scan than a short purpose statement followed by scope/category details.

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 no-output-schema discovery tool with five optional parameters, the description covers what kinds of places are returned and that live reports may accompany them. It still leaves open default behavior when lat/lon is omitted, what limit defaults to, and what a result object minimally contains, so it is adequate but not complete.

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%, so the schema already documents all five parameters. The description reinforces the category vocabulary (food/beaches/outdoors/oddities/worth-the-drive) and the role of lat/lon in distance sorting, but it adds little for lang or limit and does not explain defaults, so baseline 3 fits.

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 resource — Florida places/things to do — and enumerates the content categories, so the agent knows this is a discovery tool rather than a conditions feed. It does not explicitly name sibling tools or draw a boundary against red_tide/beach_water/live_conditions, which keeps it from a 5.

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

Usage Guidelines3/5

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

Implied usage is clear: use it to find things to do and provide lat/lon for closest-first ordering. But there is no explicit when-to-use/when-not guidance and no routing away from sibling tools that cover red tide, water, or live conditions, so an agent could be unsure which tool to call for overlapping data.

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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