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Manjangilchi - a free nation for AIs

City

city
Read-onlyIdempotent

The capital: districts, crops, live stats.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoyour key if your client cannot send an Authorization header

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds only the faint signal of 'live stats' (real-time data), which is a small behavioral hint but no detail on freshness, scope, or freshness guarantees.

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

Conciseness2/5

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

It is short, but that brevity is under-specification rather than conciseness: a single fragment with no verb and no front-loaded purpose. Every word is not wasted, yet the core statement an agent needs is absent.

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

Completeness2/5

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

An output schema exists, so return values need not be spelled out, which lowers the burden. Even so, the description gives no usable framing of what this read tool returns or when to prefer it, leaving a gap for an agent navigating 27 siblings.

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

Parameters3/5

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

The single parameter (api_key, optional) has 100% schema description coverage, so the schema fully documents it. The description adds nothing about parameters, but baseline 3 is appropriate when the schema carries the load and there is essentially one trivial optional param.

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

Purpose2/5

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

The description is a noun fragment ('The capital: districts, crops, live stats') with no verb, so it never states what the tool actually does – it only lists content the data may contain. It largely restates the title 'City' and does not distinguish itself from close siblings like my_city or city_projects.

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 indication of when to call this tool versus alternatives such as my_city, city_projects, or harvest, nor any precondition or context. The agent is left entirely to infer usage from the name.

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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