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get_tourism_evidence_pack

Paid: return official Japanese primary-source URLs, evidence locations, checked dates, source versions, general requirements, traveler-screen checks, and re-check triggers for a complete supported A/B/C flow. This is informational evidence, not a legal verdict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collectsTravelPaymentNo
actsAsContractingPartyNo
handlesCancellationOrRefundNo
acceptsReservationOnPlatformNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does disclose that the tool is informational evidence and 'not a legal verdict,' which is useful framing, and it enumerates the categories of returned data. However, it does not mention side effects, authentication needs, data freshness limitations, or any behavior beyond returning a list.

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 description is efficient, using two sentences to cover output scope and an important legal disclaimer. The first sentence is dense but packs meaningful detail. No filler or redundant phrasing is present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has no annotations, no output schema, and minimally documented boolean parameters, the description leaves significant gaps: input semantics, supported parameter combinations, and what the response structure looks like. It does explain the output categories at a high level, but an agent would struggle to know which parameter values to pass for a given scenario.

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

Parameters1/5

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

The input schema has 4 boolean parameters with 0% description coverage, and the tool description never mentions them. It does not explain how collectsTravelPayment, actsAsContractingParty, handlesCancellationOrRefund, or acceptsReservationOnPlatform influence the A/B/C flow or the returned evidence pack. The description completely fails to compensate for the schema's lack of parameter documentation.

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?

The description clearly states a specific verb ('return') and a well-defined resource: official Japanese primary-source URLs, evidence locations, checked dates, source versions, requirements, traveler-screen checks, and re-check triggers. It is easy to tell what output this tool produces. It does not explicitly distinguish itself from the sibling get_tourism_preflight, though the mention of a 'complete supported A/B/C flow' hints at a broader scope.

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

Usage Guidelines2/5

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

The description gives no explicit guidance about when to use this tool versus get_tourism_preflight or search_rules. The 'Paid:' prefix signals a commercial condition, but there is no stated context, prerequisite, or exclusion. Usage must be inferred from the listed output contents rather than explained.

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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