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Tillhub MCP by usefulapi

Transactions report

tillhub_transactions_report
Read-only

Detailed transactions report for a period, filterable by branch, register, staff, customer, type and currency. GET /api/v3/analytics/{account}/reports/transactions/overview.

Input Schema

NameRequiredDescriptionDefault
typeNoTransaction type, for example sale, sale_cancel, expense, deposit.
staffNoCashier staff id.
branchNoBranch id.
currencyNoCurrency ISO code, e.g. EUR.
customerNoCustomer id.
date_endNoOnly transactions before this time. ISO 8601 date (2026-10-01) or date-time (2026-10-01T00:00:00Z).
registerNoRegister id.
date_startNoOnly transactions on or after this time. ISO 8601 date (2026-10-01) or date-time (2026-10-01T00:00:00Z).
next_queryNonext_query from the previous reply to get the following page. It already contains the filters, so the other arguments are ignored.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds the period-scoping trait and the underlying endpoint, but omits pagination behavior for a large result set (the next_query loop is only explained in the schema), which matters for a reporting tool.

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?

Two sentences, front-loaded with the purpose before the endpoint reference, with no filler. The raw endpoint path is somewhat redundant for an agent-facing definition but is short and harmless.

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?

For a 9-parameter, no-output-schema reporting tool, the description covers what it filters on but says nothing about the result shape, granularity, or volume, and silent on the pagination pattern an agent must implement. Adequate but with clear gaps that matter for a 'detailed report' tool.

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 every parameter (including the ISO 8601 date formats and next_query semantics) is already documented in the schema; baseline 3 applies. The description's filter list (branch, register, staff, customer, type, currency) merely restates schema fields and adds no format or usage detail.

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?

States a specific verb+resource ('Detailed transactions report') scoped to a period with an explicit filter list, which is more specific than a bare name restatement. However, it never names or contrasts with the closest siblings (tillhub_list_transactions, tillhub_revenue_sum, tillhub_sales_aggregate), so an agent must infer how this 'report' differs from simply listing transactions.

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?

'For a period' hints that date_start/date_end scope the call, but there is no explicit when-to-use guidance and no mention of when to prefer list_transactions, revenue_sum, or sales_aggregate. The agent is left to guess the choice among four transaction-related siblings.

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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