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traffic_disruptions

Read-only

Check current disruptions, incidents, and works on Île-de-France transport lines or network-wide, returning active and planned issues sorted by severity.

Instructions

Get current traffic disruptions, incidents and works on the Île-de-France network.

Use for "Are there problems on Metro 7?", "Is the RER A running?" or "Any
disruptions right now?". Returns active and planned disruptions, most severe first.
Elevator/escalator outages are counted but not listed.

Args:
    line: Optional line, e.g. "Metro 7", "RER B", "Tram T2", "Transilien L".
        Leave empty for a network-wide summary.

Input Schema

NameRequiredDescriptionDefault
lineNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, openWorldHint), so the description only needs to add context — and it does: results include both active and planned disruptions, are ordered most-severe-first, and elevator/escalator outages are counted but not listed. That last caveat is genuinely useful because it pre-empts an agent assuming a complete outage picture.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose and usage examples are front-loaded, and the args block is compact. The example questions are somewhat repetitive with the opening sentence, but each still earns its place as a concrete trigger, so there is little waste.

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 one-optional-parameter read tool with no output schema, the definition covers purpose, trigger examples, identifier format, default behavior, result ordering, and a content caveat. An agent has everything it needs to decide to call it and to construct a valid argument.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry the whole burden for the single optional 'line' parameter, and it does: it supplies the canonical naming convention with four examples ('Metro 7', 'RER B', 'Tram T2', 'Transilien L') and defines the null/default behavior as a network-wide summary. This removes the main failure mode of a free-text line identifier.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource — 'Get current traffic disruptions, incidents and works on the Île-de-France network' — plus a stated scope (active and planned). That is far more precise than the bare name 'traffic_disruptions', but it never names or contrasts the siblings (search_stop, next_departures, plan_journey), so an agent must infer the boundary itself.

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?

Three concrete example questions ('Are there problems on Metro 7?', 'Is the RER A running?', 'Any disruptions right now?') give a clear trigger context, and the args block states that leaving 'line' empty yields a network-wide summary. What is missing is any when-not guidance, e.g. that live departure times belong to next_departures or routing to plan_journey.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.