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Link to request a boat

request_availability
Read-only

A link the person opens to ask an RYC manager to check and book one discounted boat-week. The link opens the boat page with the request form already open; the person signs in by email and presses Send — the assistant cannot send the request itself. The manager replies on the site's Messages page, by notification or email, within an hour from 10:00 to 20:00 Moscow time. Pass the id or page URL from search_deals or get_boat.

Input Schema

NameRequiredDescriptionDefault
idNoBoat-week id: the number at the end of the page URL
urlNoBoat page URL from search_deals or get_boat
langNoSite language for the linken

Output Schema

NameRequiredDescriptionDefault
urlYes
boatYes
next_stepsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Beyond readOnlyHint, the description discloses the full human-in-the-loop behavior: the link opens with the form pre-filled, the person signs in by email and presses Send, and the manager replies on Messages/notification/email within an hour between 10:00 and 20:00 Moscow time. That kind of workflow and SLA detail cannot be inferred from any structured field.

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 in the first sentence, followed by mechanics and then the manager-reply SLA. Four sentences for a link generator is on the long side, but each carries operational information an agent would otherwise have to guess; no filler is present.

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

Completeness5/5

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

For a tool with three optional parameters, no nested objects, and an output schema that already covers the returned link, the description supplies everything missing: who acts, what the human must do, and what response to expect and when. Nothing needed to call it correctly 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 id, url, and lang are already documented, including that the url comes from search_deals or get_boat. The description repeats that sourcing hint but does not clarify whether id or url is preferred when both are supplied, nor how lang affects the generated link. 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?

The description states precisely what the tool produces — a link that pre-opens the boat page with a request form for one discounted boat-week — and makes clear it is a handoff artifact rather than a booking action. Naming search_deals and get_boat as the sources of the id/URL separates it cleanly from the sibling tools an agent might otherwise pick.

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?

It says when to reach for it (after obtaining a boat id or page URL from search_deals or get_boat) and explicitly rules out a tempting misuse: 'the assistant cannot send the request itself.' There is no explicit when-not against other siblings such as compare_boats, but the usage context is unambiguous.

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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