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get_eu_markets

Read-onlyIdempotent

Which European markets and datasets ko.io serves: for Sweden, Netherlands, Denmark and the UK, the status of insider dealings (PDMR), major holdings, net short positions and annual reports -- live (with latest source date), pending (not activated yet) or not offered. Call first when unsure whether an EU dataset is live.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
marketsYes
live_countYesLive (country, dataset) pairs

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.7/5.0
Behavior4/5

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

With annotations already declaring readOnlyHint/idempotentHint/non-destructive, the safety profile is covered. The description adds genuinely useful semantics beyond them: the meaning of the three status values (live with latest source date, pending/not activated, not offered), which an agent needs to interpret results. It does not, however, describe return shape, though an output schema exists.

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?

A single front-loaded sentence states scope, enumerates the axis of variation (statuses), and closes with routing guidance. Every clause earns its place with no filler.

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?

For a capability-discovery tool with an output schema present, the description supplies all an agent needs: the countries and dataset types in scope and the status vocabulary it will encounter. Return-value formatting is correctly left to the output schema.

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?

The tool takes no parameters, so the baseline is 4. There is nothing for the schema to document and nothing for the description to add beyond its enumeration of covered markets, which is capability context rather than parameter semantics.

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 names a specific resource (European markets/datasets served) and the exact verb-like function (reporting status: live/pending/not offered). It enumerates the covered countries (Sweden, Netherlands, Denmark, UK) and dataset types (PDMR, major holdings, net short positions, annual reports), clearly distinguishing it from the sibling dataset tools like get_eu_insider_dealings or get_eu_major_holdings.

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?

"Call first when unsure whether an EU dataset is live" gives explicit, actionable routing guidance and positions the tool as the discovery entry point ahead of the specific dataset siblings. It states the condition that selects this tool rather than leaving it to inference.

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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