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Search EU payments legislation (compatible)

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Read-onlyIdempotent

Use this to find EU payments legislation on topics such as SCA, open banking and safeguarding in the held PSD2, RTS-SCA, PSD3/PSR and related instruments. OpenAI-compatible search: the top hits as {id, title, url}, where id is the cite anchor fetch accepts. For filters, snippets, scores and paging use search_legislation, which returns more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesEU payments legislative terms or citation, e.g. "strong customer authentication", "safeguarding" or "Article 97 PSD2".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYesTop hits, best first.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / query / description
      Previous value: -"A single query string."New value: +"EU payments legislative terms or citation, e.g. \"strong customer authentication\", \"safeguarding\" or \"Article 97 PSD2\"."
  2. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already indicate read-only and idempotent behavior. The description adds useful detail about the return shape (id, title, url) and the meaning of id, going beyond the annotation baseline.

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 concise sentences with no redundant content. The distinction from search_legislation is packed efficiently without sacrificing clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With a single well-described parameter and an output schema present, the description covers the essential behavior and return shape. It also points to the richer sibling tool for advanced needs, making it complete for its intended lightweight use.

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% and the parameter description already includes illustrative examples. The tool description reinforces the query semantics by listing relevant topics, adding modest value.

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 action ('find') and resource ('EU payments legislation'), with concrete topic examples. Clearly distinguishes itself from search_legislation by indicating it returns simple top hits.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly directs users to search_legislation for filters, snippets, scores, and paging, making the intended use case for this simpler search unambiguous.

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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