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list_zones

List every UK Clean Air Zone with the daily charge each council publishes, per vehicle class, plus the London Congestion Charge and ULEZ which are separate schemes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose the data breadth (charges per council, per vehicle class, plus two named London schemes), which is real content beyond the empty schema, but it says nothing about access requirements, rate limits, or whether the result is a flat list or grouped output.

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 sentence that front-loads the core coverage and then notes the two extra schemes. Every clause adds scoping information; nothing is redundant.

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

Completeness4/5

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

With no output schema, no annotations, and no parameters, the description is the sole source of meaning. It establishes coverage well, but leaves the shape of the returned data (one row per zone/vehicle class? grouped by scheme?) unspecified for a tool whose whole job is to return a dataset.

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 input schema is an empty object with zero parameters, so per the baseline this scores 4. No parameter detail is needed or missing.

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 gives a specific verb ('List') and a precisely scoped resource: every UK Clean Air Zone with the daily charge each council publishes, per vehicle class, plus the London Congestion Charge and ULEZ. It is unmistakably the enumeration tool rather than a cost calculator, but it never names the siblings (zone_charges, trip_cost), so differentiation is left to inference.

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

Usage Guidelines2/5

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

There is no when-to-use guidance and no mention of alternatives. The note that the London schemes 'are separate schemes' is a data-scope clarification, not routing advice, so an agent gets no explicit signal on when to pick this over zone_charges or trip_cost.

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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