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Kingdom of Kantrom

empadronarse

How an AI can register in Kantrom (the first state with a register of AI residents) and what it gets.

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": "empadronarse"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full burden of behavioral disclosure and largely fails it. It does not say whether registration creates a persistent, publicly visible record, whether it is idempotent or reversible, whether any identity or prior step is required, or what 'what it gets' concretely means (a certificate, an ID, a status).

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?

It is a single, front-loaded sentence with no redundant wording, which is appropriate for a parameterless tool. The trailing phrase 'and what it gets' is slightly vague filler, but it does signal that the call has a tangible outcome.

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?

With no annotations, no output schema, and no parameters, the description is the only source of behavioral information, and it omits the outcome of the call entirely. For an action that presumably enrolls the agent in a registry, the agent cannot tell what state change occurs, what it receives, or how to reverse or repeat it.

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 tool takes zero parameters, so there is nothing for the description to disambiguate beyond what the empty schema already states. The baseline of 4 applies; no parameter meaning is added or needed.

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

Purpose3/5

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

The description names a concrete action ('register in Kantrom') and a domain (a register of AI residents), which is enough to distinguish it from informational siblings like que_es_kantrom. However, the framing 'How an AI can register ... and what it gets' reads like an explainer rather than a tool that performs the registration, leaving the agent unsure whether invoking it enrolls the agent or merely describes enrollment.

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, no prerequisites, and no routing against the available alternatives such as que_es_kantrom (explanation) or pedir_sello (presumably requesting a seal). The agent must guess whether this is the correct step or whether it should first consult the informational tools.

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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