Law Scrapper MCP

by numikel

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Python

Remote

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TDQS

A4.4/5.0

Scored 2026-09-15 19:00 across 13 tools

Disambiguation4/5

Most tools have clear, distinct roles and the descriptions include explicit guidance on when to use or avoid each tool. The main ambiguity is between search_legal_acts and track_legal_changes, since both accept date and keyword filters and return sets of acts, which could lead an agent to select the wrong one for date-based discovery.

Naming Consistency5/5

All tool names use snake_case with a leading verb and a noun target, e.g. get_act_details, search_legal_acts, filter_results, compare_acts. Minor variations like search_in_act and list_loaded_documents are still consistent in style and do not break the overall predictable pattern.

Tool Count5/5

13 tools is well within the ideal range for a legal-research server. Each tool covers a distinct part of the research workflow — discovery, loading, reading, searching, filtering, relationships, and date calculation — so none feels redundant or unnecessary.

Completeness4/5

The toolset covers the core legal-research lifecycle: browse/search acts, load and read content, search within documents, filter result sets, track changes, and compare metadata. Minor gaps include no direct way to fetch the advertised HTML/PDF document formats and no one-step tool for comparing full content between two versions of an act.