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Tool reference

Lawbster ships eight MCP tools for research, lookup and discovery — plus three prompts and six resources.

All tools are batch-capable, async and return typed result objects with pagination fields (count, total, offset, has_more, next_offset, hint).

Discovery vs. detail

A deliberate design choice: discovery tools return compact responses (~4 k tokens) so the LLM can chain many of them in a session. Detail tools return full text — they're called when the full text is genuinely needed.

Category Tools Token budget
Discovery legal_search, legal_list_laws, legal_get_toc, legal_get_stats ~4 k
Detail legal_lookup, legal_lookup_batch, legal_get_context, legal_find_citing_decisions Full text

Overview

Hybrid search across all sources with filters (source_type, law_abbreviation, chapter, court, decision_type, date range). Semantic plus keyword with an AI reranking step.

Details & examples

Full text of a single norm by citation. Accepts § 823 BGB, Art. 6 GDPR, Art. 6 (1) (a) GDPR, C-311/18 (CJEU case number), BGH VI ZR 175/22. Returns the norm in full, with all paragraphs, sentences and hierarchy path.

Details & examples

Up to 20 lookups in one call. Saves tool-use roundtrips when the LLM needs multiple norms at once (e.g. "the five GDPR articles relevant to third-country transfers").

Surrounding norms of a reference. Parameters: norm_id plus window size (before / after). Useful when the LLM wants not just § 823 BGB but also §§ 821–826 for interpretive context.

Details & examples

Federal court decisions citing a specific norm. Reverse lookup: "Which BGH rulings interpret § 280 BGB?" Parameters: the citation itself (cited_norm) plus limit.

Details & examples

Available laws with abbreviation, title, source and currency. Filters: source_type and search (case-insensitive over abbreviation and title).

Details & examples

Table of contents of a law with norm keys, titles and hierarchy in document order. Pagination via offset/limit.

Details & examples

Index and database statistics: number of indexed laws, norms, federal court decisions, and last update timestamp. Useful for bots that want to communicate their data state.

Details & examples

Response conventions

Every tool returns a frozen dataclass as JSON, with these standard fields:

Field Meaning
count Items in this response
total Total count (across pagination)
offset Current offset
has_more Boolean — more pages available?
next_offset Value for the next call (when has_more true)
hint Human-readable hint to the LLM ("increase top_k for broader results")

Plus tool-specific fields (hits, norm, decisions, laws, toc, stats).

Errors

Lawbster returns clearly typed errors with:

  • Invalid citation format in legal_lookup / legal_lookup_batch → clear error with the accepted formats (§ 823 BGB, Art. 6 GDPR).
  • Norm not in the index → tool returns { "found": false, "citation": "..." }.
  • Quota reached → HTTP 429 with Retry-After.
  • Fair-use limit (60 req/min) → HTTP 429, brief pause and retry.