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nu:legal Deutsches Recht

A decision as numbered passages

listCasePassages
Read-onlyIdempotent

The full text of one decision, split into its paragraphs, each with a permalink you can cite.

rn is the Randnummer the COURT printed, read out of the decision's own markup. It is never inferred from position: where a document prints no numbers, rn is null and stays null. anchor_basis is derived per decision — only 'native_numbering' means our anchor and the printed number provably coincide, so pin-cite a Randnummer only when you see that value.

amtliche_seite is null everywhere: our texts carry no page breaks, so a BVerfGE-style page pin cannot be produced honestly.

Long decisions run to several hundred paragraphs; page with offset and limit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
caseYesA juris doknr, an ECLI, or this site's decision URL as `search` returns it.
limitNo
offsetNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, and the description builds on this with crucial behavioral details: rn is null when the court printed no numbers, anchor_basis must equal 'native_numbering' for a reliable pin-cite, and amtliche_seite is always null because page breaks are absent. This goes well beyond what annotations provide.

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 core purpose is front-loaded in the first sentence, and every subsequent paragraph earns its place with necessary caveats about citation integrity, page numbers, and pagination. There is no redundant or filler language.

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?

Since there is no output schema, the description responsibly explains the key return fields and their reliability implications, which is essential for correct citation usage. It doesn't enumerate every possible paragraph field or error behavior, but it is sufficient for an agent to invoke the tool correctly and interpret results.

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?

The case parameter is well described in the schema, and the description adds pagination purpose for offset/limit. However, with only 33% schema coverage, the description mostly explains output fields (rn, anchor_basis, amtliche_seite) rather than adding deeper meaning to the input parameters, leaving limit/offset semantics mostly inferred from names and defaults.

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?

The description states a specific verb and resource: it returns the full text of one decision split into citeable paragraphs. This clearly differentiates it from sibling tools like listCitedAuthorities and listCitingDecisions, which handle citation relationships rather than paragraph-level full text.

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?

The description makes the use case clear: retrieve paragraph-level text for a single decision, with pagination advice for long decisions. It doesn't explicitly name alternatives or state when not to use the tool, but the return content is specific enough that an agent can identify when this tool is appropriate.

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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