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LorissDaniel

WarEra MCP

by LorissDaniel

get_region

Read-onlyIdempotent

Retrieve WarEra region details by ID or exact name: population, development, climate, deposits, and optional country data. Ambiguous names are rejected, not guessed.

Instructions

Get a region's detail by id or exact name: population, development, climate, deposit and optionally its country. Region names repeat across countries, so ambiguous matches are rejected and reported instead of guessed. It does not recommend where to build.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
region_idNoOpaque WarEra identifier. Prefer this over a name when you have it.
region_nameNoExact region name.
player_contextNoOptional per-request WarEra credentials: an object containing api_key or jwt. Never use a project-wide or default credential.
include_countryNoAlso resolve the linked country.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuinely new behavior: ambiguous name matches are rejected and reported rather than guessed, which is important error semantics an agent must anticipate.

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?

Three sentences, zero filler, with the primary capability front-loaded and the ambiguity caveat immediately after. Every sentence carries information the agent needs.

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, the description compensates by naming the returned fields, and the ambiguity and no-recommendation caveats cover the main failure modes. It does not say what the ambiguity-rejection response looks like or what 'deposit' contains, minor gaps for a single-entity read.

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?

Schema description coverage is 100%, so all four parameters are already documented, including the preference for region_id. The description reinforces id-or-exact-name and the optional country resolution but adds no syntax or format detail beyond the schema, making 3 the correct baseline.

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 (Get) and resource (region) and enumerates the returned fields: population, development, climate, deposit, and optionally country. No sibling tool in the list touches regions, so the scope is unambiguous without further differentiation.

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?

Tells the agent it can look up by id or exact name and explains the ambiguity handling that governs name lookups. It also states a when-not ("does not recommend where to build"), though it names no alternative tool for that need, leaving the agent to infer the right sibling.

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