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list_cities

Hungarian towns with nursing homes, home counts and number of places.

Input Schema

NameRequiredDescriptionDefault
min_countNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose the shape of the returned dataset (towns plus home counts and place counts), which is genuinely useful, but says nothing about whether results are paginated, ordered, or how the default filtering behaves. For a simple read-only listing this is acceptable but thin.

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?

A single short sentence with no filler, front-loaded with the resource scope. It is a noun fragment rather than a complete statement of action, which slightly weakens front-loading but wastes nothing.

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

Completeness3/5

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

For a one-parameter, no-output-schema listing tool, the description covers what the result contains, which is the main gap the absent output schema leaves. It falls short on the undocumented min_count parameter and on any hint of ordering or result limits.

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

Parameters2/5

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

Schema description coverage is 0% and the single parameter min_count is undocumented in both schema and description. The phrase 'home counts and number of places' describes output fields, not the filter, so an agent cannot tell whether min_count thresholds towns by number of homes, places, or something else.

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 names a specific resource (Hungarian towns with nursing homes) and the fields returned (home counts, number of places), so an agent can tell it enumerates a city-level dataset. The verb is implicit and no sibling is named, but none of the siblings (compare_homes, get_home, search_homes, send_enquiry) operate on cities, so confusion risk is low.

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 guidance on when to call this versus search_homes or get_home, nor any mention of prerequisites, filtering behaviour, or result size. The agent must infer usage entirely from the name and description.

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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