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Ansvar: EU Compliance & Legal Intelligence

by eu.ansvar
OverviewDiscussionsAdmin

Get Data Freshness

get_data_freshness
Read-only

Check the freshness and sync status of all data sources. Returns last sync time, data age in hours, exact record counts (counts_estimated names any key that fell back to an estimate), and health status (current/stale/critical) for each source: NVD, CISA KEV, EPSS, ExploitDB. Use this to verify data is up-to-date before making security assessments.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_data_freshness"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare it is read-only, non-destructive, and closed-world. The description adds useful behavioral context by listing returned fields, health statuses, and the counts_estimated fallback nuance, though it does not discuss auth or rate limits.

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 tightly written sentences, front-loaded with the core purpose and followed by concrete return details. Every sentence adds useful information.

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 zero parameters, no output schema, and read-only annotations, the description provides enough detail about what is checked, which sources are covered, and what the return values mean. An agent can invoke it correctly without more information.

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 has zero parameters, so there are no parameter semantics to explain. The baseline for zero params applies.

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 verb and resource: checking freshness and sync status of data sources. It names the exact sources and the returned health categories, so an agent can clearly distinguish it from search or status tools.

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?

Explicitly says to use it before making security assessments to verify data is up-to-date. It gives a clear usage context but does not name alternatives or when-not to use it.

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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