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check_availability

Check which vehicles are available for rental on specific dates and locations. Uses the scheduling engine to account for existing reservations, vehicle positioning, and fleet consolidation. Returns a list of available vehicle types (rate codes) with availability urgency labels.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_cityNo2-letter return location code. Defaults to start_city if not specified (round-trip).
end_dateYesRental end date, YYYY-MM-DD (four-digit year, e.g. 2026-12-18)
rate_codeNoFilter by vehicle type/rate code (e.g., 'Ford Transit', 'Sprinter'). Omit to check all types.
start_cityYes2-letter pickup location code (e.g., 'LA', 'NA', 'SF')
start_dateYesRental start date, YYYY-MM-DD (four-digit year, e.g. 2026-12-18)

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses that the tool uses a scheduling engine to account for reservations, vehicle positioning, and fleet consolidation, and returns availability urgency labels. However, it does not explicitly state that the tool is read-only or mention any error conditions or limitations, leaving some behavioral ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

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

The description is two sentences: the first states the purpose, and the second explains the function and return value. There is no fluff or repetition, and it is well-structured.

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?

Given the tool's simplicity (5 flat parameters, no output schema), the description covers the essential aspects: what it does, how it works, and what it returns. It lacks a few details like result limits or pagination, but for an availability check, it is sufficiently complete.

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%, and each parameter is already well-documented with types, examples, and defaults. The description adds no information about parameters beyond what the schema provides, so a baseline score of 3 is appropriate.

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 clearly states the tool's function: checking vehicle availability for rental on specific dates and locations. It names the verb 'check', the resource 'vehicles', and the specific scope 'available for rental', which distinguishes it from sibling tools like get_rate_quote (pricing) and list_rate_codes (catalog).

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?

The description gives clear usage context: 'for rental on specific dates and locations.' It does not explicitly name alternatives or exclusions, but the context is strong enough that an agent can infer when to use this tool versus others like email_quote or get_rate_quote.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct action: availability, quoting, coverage, reservation lookup, link generation, locations, and vehicle types. There is no meaningful overlap that could cause an agent to select the wrong tool.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern using lowercase snake_case (check_, email_, explain_, get_, list_). The convention is uniform across the set.

Tool Count5/5

Eight tools is well-scoped for a rental information and assistance server. Each tool serves a clear purpose and the count is within the ideal range for a domain-specific MCP.

Completeness2/5

The set has significant gaps: email_quote references a 'saved rate quote' but there is no save_quote tool to create one, and get_my_reservation mentions an admin lookup tool that isn't present. This creates dead ends and will cause agent failures in follow-through workflows.

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