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hostaway

List reviews

hostaway_list_reviews
Read-only

List guest-to-host and host-to-guest reviews with rating (0-10), public review, private feedback and the host's reply. Filter by listings, reservation, type, status, rating range, dates, guest name, or whether the host has replied. Hostaway: GET /v1/reviews.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoReview direction.
limitNoMaximum records to return (1-500).
offsetNoRecords to skip from the start.
sortByNoSort field.
statusesNoReview statuses.
guestNameNoPartial, case-insensitive guest-name match.
ratingMaxNoMaximum rating (0-10).
ratingMinNoMinimum rating (0-10).
sortOrderNoSort direction (default desc).
hasHostReplyNotrue = only replied-to reviews; false = only unanswered.
listingMapIdsNoOnly reviews for these listing ids.
reservationIdNoHostaway reservation id.
submittedAtEndNoSubmitted on or before (YYYY-MM-DD).
departureDateEndNoReservation departure on or before (YYYY-MM-DD).
submittedAtStartNoSubmitted on or after (YYYY-MM-DD).
departureDateStartNoReservation departure on or after (YYYY-MM-DD).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=true; the description goes further by disclosing the shape of the returned records (rating scale, public vs private feedback, host reply) and the underlying endpoint. It omits pagination/rate-limit behavior, but adds genuine context beyond the annotation.

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?

Two sentences, front-loaded with the core action and result payload, then the filter surface. The filter enumeration is long but each item maps to a real parameter, so it earns its place; slight density rather than waste.

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 list tool with a fully documented 16-parameter schema and no output schema, the description usefully covers what comes back and how to narrow it. It lacks any note on pagination or result size limits, which is the main remaining gap.

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 100%, so every parameter is already documented with format and bounds. The description's filter list restates categories that map to those parameters without adding syntax or semantics beyond the schema, which is the baseline 3 case.

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?

States a specific verb (List) and resource (reviews), including both review directions and the fields returned (rating, public review, private feedback, host reply). No sibling tool touches reviews, so it is unambiguous among the listed tools.

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?

The enumeration of filters implies how the tool is used, but there is no explicit when-to-use/when-not guidance or named alternative. With no review-related siblings the routing risk is low, so implied usage is adequate rather than strong.

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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