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List vehicle checks

trackpod_list_vehicle_checks
Read-onlyIdempotent

Driver vehicle inspections (before/after route): checklist items with pass/fail, notes, photo links (valid 24 h), odometer and signature. date only: every check of that day (GET /VehicleCheck/Date/{date}); date + vehicle_number: that vehicle's checks of the day; vehicle_number only: that vehicle's last check (GET /VehicleCheck/{number}).

Input Schema

NameRequiredDescriptionDefault
dateNoThe day, YYYY-MM-DD.
limitNoItems per page (default 25, max 100).
offsetNoItems to skip (default 0). Use next_offset from the previous page.
vehicle_numberNoThe vehicle (plate) number.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/openWorld, so the bar is lower. The description adds meaningful behavior beyond them: the photo links expire after 24 h and the exact content of a check record. It does not discuss pagination semantics, though limit/offset are documented in the schema.

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?

Front-loads what a check is, then enumerates the date/vehicle_number combinations compactly. The GET endpoint strings are somewhat redundant noise, but the rest is dense and waste-free.

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?

With no output schema, the description usefully enumerates the returned fields and the parameter-driven behavior variants. It omits return shape details like pagination wrappers, but it is sufficient for an agent to call the tool correctly.

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

Parameters5/5

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

Schema coverage is 100%, so individual params are documented, but the description adds the critical cross-parameter semantics the schema cannot express: the same two parameters produce three distinct result sets depending on which are supplied. This genuinely extends meaning beyond the schema.

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?

States a specific verb+resource: listing driver vehicle inspections with the field set returned (checklist items, pass/fail, notes, photo links, odometer, signature). It is clearly distinguishable from siblings like trackpod_get_vehicle, trackpod_list_vehicles, and the order/proof-of-delivery tools.

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?

Clearly spells out the three invocation modes: date only → all checks that day; date + vehicle_number → that vehicle's checks for the day; vehicle_number only → that vehicle's last check. That is strong usage context, though there are no sibling alternatives named since no other vehicle-check listing tool exists.

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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