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msoutumuro123

Restaurant365 MCP Server

Get R365 Transactions

r365_get_transactions
Read-onlyIdempotent

Retrieve financial transactions from Restaurant365 using optional filters for location, date, transaction type, and row limit.

Instructions

Retrieve financial transactions from Restaurant365.

Args:

  • location_id: Optional location GUID filter

  • date: Optional business date filter (ISO 8601, e.g. 2026-06-01T00:00:00Z)

  • type: Optional transaction type (e.g. 'Journal Entry', 'AP Invoice')

  • top: Max rows (default 100)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNo
dateNo
typeNo
location_idNo
Behavior3/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds parameter details like default top=100 but does not disclose additional behaviors such as pagination or response structure.

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 very concise: a one-line purpose followed by a structured Args block. Every sentence provides necessary information without repetition or fluff.

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

Completeness3/5

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

While parameters are well documented, the description lacks any information about the return format or structure of the output. Since there is no output schema, the agent is left guessing what fields are returned. Also, pagination behavior beyond the top parameter is not addressed.

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?

With 0% schema description coverage, the description provides clear semantic meaning for each parameter: location_id is a GUID filter, date requires ISO 8601 format with an example, type gives examples, and top states max rows and default. This adds significant value beyond the schema.

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 clearly states the tool retrieves financial transactions from Restaurant365. However, it does not differentiate from the sibling tool r365_query, which may also retrieve data, so it lacks sibling differentiation.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like r365_query or r365_list_entities. There are no exclusions or context indicating when not to use it.

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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