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B2b Euronext Equities

b2b_euronext_equities
Read-only

Euronext listed equities (daily list from live.euronext.com): lists or searches shares on one Euronext market by MIC code (e.g. XAMS Amsterdam, XPAR Paris) and returns name, ISIN, ticker, currency, last close, volume and turnover. End-of-day data from the last trading day; not real-time. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoOptional name, ticker or ISIN filter, up to 40 characters
micNoMarket MIC code, 4 letters, e.g. XAMS, XPAR, XBRU, XLIS
limitNoRows to return, 1 to 50 (default 10)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
micNo
queryNo
sourceNo
matchesNo
resultsNo
checkedAtNo
totalListedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the readOnlyHint and openWorldHint annotations, the description discloses important behavior: data is from the last trading day rather than real-time, and each successful call costs $0.002 in USDC via x402, with failed calls not charged. These are material operational details for an agent.

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 description is front-loaded with purpose, source, scope, and return fields, then adds only material details about data freshness and payment. Every clause contributes useful selection or invocation context.

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?

Given the annotations, full schema coverage, and an output schema, the description provides enough context for correct selection and invocation. It also covers freshness and pricing, which are the key non-schema concerns for this paid read-only data tool.

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?

Schema description coverage is 100%, so the schema already fully documents q, mic, and limit. The description reinforces the MIC-code semantics with examples, but adds little beyond the schema for the other parameters, making the baseline 3 appropriate.

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: lists or searches Euronext listed equities on one market by MIC code. It also identifies the source, return fields, and data timing, making it clearly distinguishable from the NYSE listings sibling.

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?

It gives clear usage context by specifying one Euronext market via MIC code and noting that data is end-of-day, not real-time. It does not explicitly name alternatives or say when not to use it, so it falls short of a 5.

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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