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Upload daily revenue

tamigo_upload_daily_revenue
Destructive

WRITE: import daily revenue per department into Tamigo (the same call a cash-register system makes), used for revenue-based planning and KPIs. Each row is a department key (the POS key set in Tamigo), a date and a revenue amount (a plain number with a dot as decimal separator). A date that already has revenue for that department may be overwritten by Tamigo, so confirm the rows first. POST /Revenues/.

Input Schema

NameRequiredDescriptionDefault
rowsYes1-200 rows.

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 flag destructive=true, idempotent=false, openWorld=true; the description adds real value beyond that by disclosing that a date already carrying revenue for a department may be overwritten, and by naming the underlying endpoint POST /Revenues/. It stops short of describing partial-failure/batch atomicity or the response, so not a 5.

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?

Four sentences, front-loaded with the WRITE verb and resource, then the row shape, then the risk caveat, then the endpoint. No filler and nothing repeated from the schema verbatim.

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?

A single-parameter tool with full schema coverage and no output schema needs little more than this; the description covers write semantics, the overwrite hazard, and formatting. It leaves open what happens with a 200-row batch if one row is rejected, which is the one gap an agent might care about.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds semantics the schema can't express: the composite identity of (department_key, date) that drives overwrite behavior, and that department_key is the POS key configured in Tamigo. The decimal-separator remark is mildly redundant with type=number.

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?

Opens with an explicit WRITE marker, names the resource (daily revenue per department), and grounds it with a concrete analogue ('the same call a cash-register system makes') plus the downstream purpose (revenue-based planning and KPIs). This clearly separates it from the sibling read tools (list_*, get_*).

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?

Gives clear operating context (register-system import, planning/KPI use) and an explicit caution to 'confirm the rows first' before uploading. It does not name a sibling alternative or state when a different tool would be preferred, keeping it short of a 5.

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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