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Adaga solutions — Data APIs Toolbox

hotel_rate_monitoring

Monitor hotel rates across booking sources for revenue management. Use when tracking competitor hotel pricing or building rate intelligence. Returns rate observations per hotel and date. Micro-pricing per event.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that this is a read-style monitoring operation returning observations per hotel and date, which establishes the safety profile implicitly. It omits which booking sources, data freshness, rate limits, and auth requirements — meaningful gaps for a no-annotation 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?

Four short sentences with the primary purpose front-loaded and no filler. The closing fragment "Micro-pricing per event." is cryptic and undefined, weakening an otherwise tight structure.

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?

No output schema exists, so the description must frame the return value; it does say "rate observations per hotel and date," which is the minimum. But with no parameters, no annotations, and no explanation of sources, coverage or cadence, and the unexplained "micro-pricing per event" clause, an agent still lacks enough to invoke with confidence.

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?

The tool declares zero parameters, so there is nothing for the description to disambiguate; the baseline for a 0-param tool is 4. The description's mention of hotels, dates, and sources is conceptual rather than parameter-level detail.

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 verb (monitor) and resource (hotel rates) plus scope (across booking sources) and audience (revenue management). No sibling tool overlaps with hotel pricing, so differentiation is implicitly strong, though the description never anchors itself against the scraper/review siblings.

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?

"Use when tracking competitor hotel pricing or building rate intelligence" gives a clear triggering context. However, it names no alternatives or exclusions, so an agent gets no routing guidance for the adjacent scrapers or review_radar.

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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