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by net.crawlora
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tripcom_hotel_detail

Read-only

Fetch one Trip.com hotel's normalized detail data, including location, rating breakdown, policies, and facilities. Use tripcom_hotels_search to discover a hotel and obtain its identifier.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>",
      "slug": "<slug>"
    },
    "name": "tripcom_hotel_detail"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesTrip.com hotel id, from a prior Search call's hotel_id field or the numeric segment of a /hotels/{slug}-hotel-detail-{id}/ URL.
slugYesOptional slug segment for a nicer canonical URL (e.g. the district/city slug from a Search result's url). Not required and not validated by Trip.com.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds that data is 'normalized,' which is mildly useful, but says nothing about failure modes (e.g. invalid/missing id), freshness, or whether the slug affects the response — extra value is modest against an already-covered annotation set.

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?

Two sentences, zero filler, with the core action and the returned data categories front-loaded before the prerequisite call. Every clause earns its place.

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?

An output schema exists, so return values need not be re-explained, and the description correctly focuses on purpose and the search prerequisite. Combined with read-only annotations and complete parameter docs, this is nearly self-sufficient; only minor behavioral detail is absent.

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 both the id and slug parameters (including their provenance and the optional-but-unvalidated nature of slug) are fully documented in the schema. The description adds no parameter-level detail beyond what structured data provides, so baseline 3 applies.

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 (Fetch) and resource (one Trip.com hotel's normalized detail data), then enumerates the content categories (location, rating breakdown, policies, facilities). It also names the sibling tool tripcom_hotels_search, letting an agent distinguish it from the search endpoint 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?

Explicitly instructs the agent to use tripcom_hotels_search first to discover a hotel and obtain its identifier, establishing the correct call ordering and data dependency. It stops short of stating any when-not conditions or alternative detail endpoints, but the primary workflow is clear.

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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