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AegeanBot Direct Stays

Search Listings

search_listings
Read-onlyIdempotent

Search available vacation rentals across Greece. Pass explicit destinations, dates, guest counts and filters as structured fields; use query only for preferences not represented by another field. Do not invent locations, dates, guest counts or budgets the guest never gave. Results include stable listing ids for follow-up calls (get_listing_details, check_availability_and_price).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
moodNoholiday-mood collection: beach=steps from the sea/coves, pools=private pool/resort calm, sunset=golden-hour terraces/romance, night=chora/town stays with evening life
sortNoresult ordering; default recommended
queryNooptional free-text preferences NOT captured by the structured filters, e.g. 'quiet romantic vibe with sunset views' — do not repeat structured information here
adultsNonumber of adult guests
guestsNototal guests (alternative to adults/children when the split is unknown)
checkinNoexact arrival date YYYY-MM-DD — ONLY when the guest gave real stay dates. If they only named a month/season ('in August'), leave dates out: availability is checked per night, so a whole month demands 30 free nights
infantsNonumber of infants — noted but NOT counted toward sleeping capacity
settingNogeography facet for generic wishes: 'στα νησιά'/'the islands' → island; combinable with budget/dates, replaces a location guess
bedroomsNominimum bedrooms requested
checkoutNoexact departure date YYYY-MM-DD — same rule as checkin
childrenNonumber of children — counted toward capacity together with adults
currencyNocurrency used for price filters
locationNoa PLACE the guest actually named: city, island, region, island complex ('Cyclades') or area ('Athens south coast'). For generic geography ('the islands', 'the mountains', 'by the sea') use setting instead — do NOT guess a region the guest never said. Omit if unknown
amenitiesNohard amenity requirements the guest explicitly asked for — every listed amenity must be present
bathroomsNominimum bathrooms requested
near_metroNotrue only when the guest wants to be near a metro/subway station (Athens & Thessaloniki only) — filters to homes within a 1 km walk of a station
property_typeNorequested property type
max_total_priceNomaximum total stay price (EUR) when the guest gave a whole-trip budget — only applied when exact dates are also given (otherwise ignored with a note)
max_nightly_priceNomaximum accommodation price per night (EUR)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, and the description adds context beyond that: results include stable listing IDs for follow-up calls, and the note that availability is checked per night (so a month-long request demands 30 free nights). These are behavioral insights not captured in annotations. It does not describe pagination or result limits, but the output schema likely covers return shape. Given the strong annotation coverage, a 4 is appropriate.

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?

Four concise sentences with no filler. The purpose is front-loaded, followed by usage guidance and a pointer to follow-up tools. Every sentence earns its place and the description is appropriately sized for a tool with 19 parameters.

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 complex search tool with many parameters, the description covers the essential context: what it searches, how to structure input, what not to do, and what the output provides (stable IDs for subsequent calls). The output schema presumably documents the return structure, so nothing critical is missing. The guidance on dates and the monthly-availability edge case is especially helpful.

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

Parameters4/5

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

Schema description coverage is 100%, so each parameter is already documented. The description adds meta-guidance: to prefer structured fields over free-text query, and to avoid inventing criteria. It also reinforces the special rule about dates (only use exact dates when the guest gave them). This adds value beyond the schema without repeating it, so a 4 is justified.

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?

The description opens with a specific verb and resource ('Search available vacation rentals across Greece'), and explicitly names the sibling tools for follow-up (get_listing_details, check_availability_and_price), making its role distinct. It leaves no ambiguity about what the tool does and how it differs from related tools.

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

Usage Guidelines5/5

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

The description gives explicit operational guidance: use structured fields for concrete criteria, reserve query for unstructured preferences, and never invent data the guest didn't provide. It also names the follow-up tools, effectively telling the agent when to move on after searching. This is clear when-to-use and when-not-to-use guidance.

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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