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sevdesk

List orders and quotes

sevdesk_list_orders
Read-only

List orders — quotes (Angebote), order confirmations and delivery notes — filterable by status, number, date range and contact. Status: 100 draft, 200 delivered, 300 rejected, 500 accepted, 750 partially calculated, 1000 calculated. sevdesk: GET /Order.

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 orders with this status code.
end_dateNoOnly orders 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 orders for this contact id.
start_dateNoOnly orders dated on or after this, as a Unix timestamp in seconds.
order_numberNoOnly the order with this number.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

readOnlyHint=true already covers the safety profile, so the bar is lower, and the description still adds genuine context: the underlying GET /Order endpoint and the meaning of each status code, which is behavior an agent cannot get from the annotations.

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?

Front-loaded purpose, then the filter axes, then the status legend, then the endpoint mapping — dense but every clause carries information. The status list is long but earns its space given the opaque numeric codes.

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, zero-required-parameter list tool with 100% schema coverage and no output schema, the description plus schema is sufficient to call it correctly; only pagination/return-shape guidance is absent, which the annotations and schema largely imply.

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; the description goes beyond it by decoding the status enum values (100 draft, 200 delivered, 500 accepted, etc.), which the schema lists as bare codes with no semantics.

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?

States a specific verb (List) and resource (orders) and then enumerates the concrete document types it covers (quotes/Angebote, order confirmations, delivery notes), which lets an agent place it precisely relative to siblings like sevdesk_list_invoices and sevdesk_list_credit_notes.

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 implies usage by naming the available filters (status, number, date range, contact), so an agent can infer when this tool fits, but it never states when to prefer it over list_invoices/list_credit_notes or any preconditions.

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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