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geo360_luggage_storage

Secure luggage storage consignas near train stations and central airports across 500+ cities with verified booking links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sub_idNoOptional affiliate sub-ID for calling agent attribution
bags_countNoNumber of luggage pieces
session_idNoOptional product session id. If omitted, GEO360 creates one (trip_*). Pass the same id on later search/commit calls for the same trip.
storage_daysNoDuration in days
city_or_stationYesCity or rail hub (e.g. Zurich HB, Paris Gare de Lyon, Madrid Atocha, Milano Centrale)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.5/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden and mostly fails it. 'Verified booking links' is the one useful behavioral signal, implying the tool returns links rather than completing a booking, but there is no mention of auth requirements, rate limits, whether results are live/available inventory, or what happens on a bad city input. Too thin for a zero-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.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no redundancy, which is structurally sound. But the content is largely marketing copy ('500+ cities', 'secure', 'verified') that does not earn its place over operational detail. Concise but not informative.

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?

For a five-parameter, no-annotation, no-output-schema tool, the description omits essentials: what the response looks like (list of storage points? links? prices?), whether the city_or_station must match a known hub, and how session_id ties into subsequent calls (only the schema hints at this). Inadequate for the tool's complexity.

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 the schema already documents all five parameters including the session_id workflow and sub_id attribution. The description adds nothing beyond the schema, which is the expected baseline of 3 when structured fields do the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource (luggage storage consignas near train stations and airports) and implicitly distinguishes it from siblings like search_flights and search_car_rentals. However, it never states the operation: is this a search that returns locations, or a booking tool? The phrase 'with verified booking links' hints at a discovery/redirect tool, but the agent must infer the verb. Purpose is recognizable but under-specified.

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?

There is no when-to-use or when-not-to-use guidance, and no alternative tool is named. The geographic scoping ('near train stations and central airports') is context, not usage guidance. An agent gets no help deciding this tool over, say, get_esim_connectivity or search_car_rentals for a traveler's logistics needs.

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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