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ExakTime / Arcoro MCP by usefulapi

List meal break violations

exaktime_list_meal_break_violations
Read-only

List meal break compliance violations (type, date, expected vs actual value) linked to a time record id. Source: the read-only OData data warehouse, refreshed nightly, so today's entries may not show until tomorrow. Page with skip/next_skip. GET /odata/DwMealBreakViolations.

Input Schema

NameRequiredDescriptionDefault
topNoRows to return, 1-1000 (default 100).
skipNoRows to skip (default 0). Pass the previous reply's next_skip.
to_dateNoLast violation date to include.
from_dateNoFirst violation date to include.
time_record_idNoOnly violations of this time record.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true. The description adds valuable context beyond them: the nightly refresh cadence, the read-only warehouse source, the pagination behavior, and the underlying GET endpoint. It stops short of covering auth or rate-limit behavior.

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 front-loaded with the purpose, then immediately adds the important freshness caveat, pagination note, and endpoint. It is compact with no wasted sentences.

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?

For a read-only list tool with no output schema but 100% schema description coverage, the description is largely complete: it names returned fields, explains pagination, and discloses the nightly data latency. It could say more about the response shape or default behavior, but the essentials for correct invocation are present.

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 all five parameters are already documented in the input schema. The description reinforces key behavior such as 'Page with skip/next_skip' and 'linked to a time record id', but does not add parameter semantics beyond what the schema already provides.

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?

The description uses a specific verb and resource: 'List meal break compliance violations', and names the key returned fields (type, date, expected vs actual value). It links the resource to a time record id, making the scope clear, but does not explicitly differentiate from siblings such as exaktime_list_time_records or exaktime_query_odata.

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?

It provides clear context that the data comes from a read-only OData warehouse refreshed nightly, so today's entries may lag. That is useful usage guidance, but it does not say when to choose this tool over alternatives like query_odata or list_time_records, nor does it state any exclusions.

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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