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eu_search

Read-onlyIdempotent

Search verbatim text of EU regulations (GDPR, AI Act, DORA, NIS2, eIDAS 2.0, CRA) by natural language query. Returns highlighted snippets from the indexed corpus.

Instructions

Wyszukiwanie pelnotekstowe (FTS5) po tresci artykulow regulacji UE. Zwraca snippety verbatim z podswietleniem trafien. Zakres: GDPR, AI Act, DORA, NIS2, eIDAS 2.0, CRA. Bledy: empty_query (po normalizacji brak slow), corpus_error (blad SQLite).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesFraza w jezyku naturalnym, np. 'breach notification timeline'.
regulationsNoOpcjonalny podzbior regulacji. Brak = wszystkie 6.
limitNoMaks. liczba trafien (domyslnie 8, max 25).
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds value by stating it returns snippets verbatim with highlighting and lists specific errors (empty_query, corpus_error), which are not in annotations.

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 sentences with no wasted words. The first sentence front-loads the core purpose, the second covers errors. Perfectly concise for a search tool.

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?

Given full schema coverage and adequate annotations, the description covers purpose, error handling, and snippet behavior. It could mention ordering or default pagination, but is sufficiently complete for the tool's complexity.

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 baseline is 3. The description adds context beyond schema by clarifying the query type ('fraza w języku naturalnym'), optional regulations subset, and error cases (empty_query, corpus_error), enhancing semantic understanding.

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 clearly states full-text search (FTS5) in EU regulation articles, specifies the exact regulations covered, and mentions snippet highlighting. It distinguishes from sibling tools like eu_article by focusing on search rather than retrieval.

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 description implicitly indicates use for finding articles by content, but lacks explicit guidance on when to use vs. alternatives (e.g., eu_article for known article IDs). No 'when not to use' or alternative references.

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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