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Cerca oggetti da noleggiare vicino a un indirizzo

rentme_search_things

Cerca su Rentme oggetti da noleggiare da persone reali della zona: attrezzi (trapani, idropulitrici, scale), giardinaggio, strumenti musicali, audio/video, bici, campeggio, feste, ecc. Consegna e ritiro a domicilio sono compresi nel prezzo. Indica SEMPRE indirizzo_consegna quando lo conosci: vengono restituiti solo gli oggetti che il proprietario può consegnare lì, ordinati per distanza. Prezzi in EUR a ora, giorno e/o mese.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoCosa si cerca, es. "idropulitrice", "scala", "chitarra"
limitNoNumero massimo di risultati (default 20)
categoria_idNoId di categoria o sottocategoria, da rentme_list_thing_categories
indirizzo_consegnaNoIndirizzo dove consegnare, es. "Via Roma 1, 20121 Milano"

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does so well: it discloses that delivery/pickup are included in price, that results are filtered to items the owner can deliver to the given address and sorted by distance, and that prices are expressed in EUR per hour/day/month. The only gap is that it does not describe result fields or pagination behavior.

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?

Purpose is front-loaded, followed by illustrative examples, the address rule, and pricing units. It is dense but every clause adds information; the example list is slightly long but helps disambiguate the catalog.

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?

There is no output schema and no annotations, so the description must stand alone, and it covers purpose, delivery semantics, filtering, sort order, and pricing units. It does not explain the returned item shape or how limit interacts with results, leaving a minor gap.

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?

Schema coverage is 100%, so a baseline of 3 applies, but the description adds genuine meaning beyond the schema by explaining the behavioral effect of indirizzo_consegna (results are restricted to deliverable items and distance-sorted), which the schema field alone does not convey.

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 (Cerca) and resource (oggetti da noleggiare) with concrete category examples (attrezzi, giardinaggio, strumenti musicali, bici...), so an agent immediately understands it is a discovery/search tool. It does not explicitly distinguish itself from siblings like rentme_get_thing or rentme_list_thing_categories, so it stops short of a 5.

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

Usage Guidelines3/5

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

Implied usage (find things to rent nearby) is clear, and it gives one strong operational rule ('Indica SEMPRE indirizzo_consegna quando lo conosci'). However, it never states when to prefer this over alternatives such as rentme_get_thing or rentme_list_thing_categories, leaving tool selection partly to inference.

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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