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get_public_opinions

Public opinion, not a verified fact. Guest testimonials, schema.org reviews and displayed ratings from one hotel's own website, each with source_url, captured date and a verbatim excerpt (<=25 words), plus aspect tags and an aggregate. Kept separate from get_hotel_facts.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_public_opinions"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
domainNo
property_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

No annotations exist, so the description carries the burden, and it does disclose useful traits: the single-source scope ('one hotel's own website'), the per-item fields (source_url, captured date, verbatim excerpt capped at 25 words), aspect tags and an aggregate. It says nothing about authentication, rate limits, pagination, or what an empty result looks like, which is a meaningful gap for an unannotated tool.

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?

The key disqualifier — 'Public opinion, not a verified fact' — is front-loaded and every clause adds information about the payload. The second sentence is long and comma-laden but still single-purpose, so there is no filler.

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?

With no output schema, the description does the right thing by enumerating the returned fields and the aggregate, which is genuinely helpful. However, for a three-parameter tool with zero schema descriptions, the caller still has no guidance on the inputs that determine what comes back, leaving the definition only partly complete.

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

Parameters2/5

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

Schema description coverage is 0% for three parameters (limit, domain, property_id), and the description never names them. Only a loose hint exists — 'one hotel's own website' implies domain/property scoping — with no explanation of whether domain is the site to scrape or a filter, or what limit bounds (the schema caps at 50 but the description is silent).

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-like retrieval of a clearly bounded resource: guest testimonials, schema.org reviews and displayed ratings from one hotel's own website. It also explicitly demarcates itself from the sibling get_hotel_facts, so an agent can choose between the two without opening either schema.

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?

The framing 'Public opinion, not a verified fact... Kept separate from get_hotel_facts' gives a clear routing rule: use this for opinion/quotes, use get_hotel_facts for verified data. It does not state explicit exclusions or when results may be empty (e.g., no reviews present), 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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