Statesman MCP Server

populate_countries_bulk

Run bulk LLM-based country discovery across all continents or a specific continent, optionally waiting synchronously for completion.

Instructions

Trigger bulk LLM country discovery across all continents or a single continent.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "populate_countries_bulk"
  }
}

Input Schema

Name	Required	Description	Default
`sync`	No	If true, wait synchronously for completion
`continent_id`	No	Optional continent ID to scope bulk discovery

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Nov 13, 2026

TDQS

B3.4/5.0

Behavior2/5

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

It adds useful context that discovery is LLM-driven and can run across every continent. With no annotations, however, it leaves major behavior undisclosed: whether countries are created or updated, duplicate and error handling, possible LLM operational costs, and how the default asynchronous run is monitored or its outcome reported.

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?

The single sentence is front-loaded with the action, method, resource, and scope, with no filler or redundancy. Its brevity is effective even though additional behavioral detail would be valuable elsewhere in the definition.

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?

For a bulk LLM-triggered operation with no annotations and no output schema, the scope sentence alone is insufficient for fully reliable invocation and follow-up. The schema explains the two arguments, but the definition still lacks write behavior, job/result expectations, and operational caveats.

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%, and both `sync` and `continent_id` are already documented clearly there. The description reinforces the continent scoping but adds no parameter syntax, interaction, or operational detail beyond the schema, making the baseline score appropriate.

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 uses a specific verb and resource—triggering bulk LLM country discovery—and clearly states the geographic scope as all continents or one continent. It does not explicitly differentiate the tool from similarly named population siblings, so it stops short of a 5.

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?

The all-continents versus single-continent wording provides a clear context for using the tool for broad or continent-scoped discovery. It gives no prerequisites, exclusions, or explicit guidance for choosing among related population tools.

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

Deploy Server