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sevdesk

List credit notes

sevdesk_list_credit_notes
Read-only

List credit notes (Gutschriften), filterable by status, number, date range and contact. Status: 100 draft, 200 open/delivered, 750 partially paid, 1000 paid. sevdesk: GET /CreditNote.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
embedNoComma-separated nested resources to expand inline, e.g. contact,category.
limitNoMax entries to return, 1-1000 (sevdesk suggests 10-100).
offsetNoNumber of entries to skip, for paging.
statusNoOnly credit notes with this status code.
end_dateNoOnly credit notes dated on or before this, as a Unix timestamp in seconds.
count_allNoIf true, the response also carries `total`, the full match count.
contact_idNoOnly credit notes for this contact id.
start_dateNoOnly credit notes dated on or after this, as a Unix timestamp in seconds.
credit_note_numberNoOnly the credit note with this number.

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?

Annotations only declare readOnlyHint=true, so the description carries the extra load and does so usefully: it decodes the status codes (100 draft, 200 open/delivered, 750 partially paid, 1000 paid) and names the backing endpoint (GET /CreditNote). It says nothing about pagination behavior or result volume caps, keeping it from 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?

Two tight sentences: the core purpose and filter dimensions come first, the status-code legend and endpoint follow. No sentence is wasted and everything is front-loaded.

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 full schema coverage and an explicit readOnlyHint, the definition covers purpose, filters, and status semantics adequately; no output schema is needed to explain returns. Only the omission of paging/result-volume guidance keeps it from full completeness.

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 the schema already documents all nine parameters and the baseline is 3. The description adds genuine value only for `status` by translating the enum codes into human meanings; the remaining filters are merely enumerated, adding nothing 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?

States a specific verb ('List') and resource ('credit notes'), and even supplies the German synonym ('Gutschriften'), making the target resource unambiguous against siblings like list_invoices or list_vouchers. It does not explicitly contrast itself with those siblings, so it stops just short of a 5.

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?

The list of filterable dimensions implies a querying use case, but there is no explicit when-to-use, when-not-to-use, or named alternative among the many other list_* sibling tools. Usage is inferable for a straightforward list tool but never stated.

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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