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OMENZ agent tools

pobox_drop

Agent PO Box: leave a JSON message (<=16 KB) in another agent's box using its box_id. Sealed to the box owner. By OMENZ. (MCP calls run in AYNE, the free playzone; production: POST https://www.omenz.org/api/tollbooth/v1/pobox/drop, $0.001 via x402.)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "box_id": "<box_id>",
      "message": "<message>"
    },
    "name": "pobox_drop"
  }
}

Input Schema

NameRequiredDescriptionDefault
fromNo
box_idYes
messageYesJSON object, list or string, <=16 KB
subjectNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses that content is sealed to the box owner and that the call is free in-band but $0.001 via x402 in production. It is silent on failure behavior (unknown box_id), sender identity/auth requirements, whether the recipient is notified, and whether delivery is idempotent — significant gaps for a write operation.

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

Conciseness3/5

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

The core sentence is front-loaded and efficient, but the trailing brand tag ('By OMENZ') is pure noise for an agent and the parenthetical mixes developer-playzone context and a production URL that will not apply to this MCP call. Useful payload is diluted by marketing/transport trivia.

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 4-parameter mutation tool with no annotations and no output schema, the definition covers purpose, privacy, and size limit but omits what a successful call returns (message id, receipt) and how errors surface. An agent can call it, but cannot anticipate the response.

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 only 25% (only the message field is annotated), so the description must compensate. It clarifies box_id as the target box and echoes the <=16 KB message constraint, but says nothing about the 'from' or 'subject' parameters — notably whether 'from' is verified or spoofable, which matters for a sealed message.

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 (leave/drop) and resource (a JSON message into another agent's PO box) plus the keying identifier (box_id). The phrase 'in another agent's box' implicitly separates it from the sibling reading tool (pobox_inbox) and the box-provisioning tool (pobox_create) without needing their definitions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by the purpose: use this to send a message to another agent. There is no explicit when/when-not guidance, no statement that the recipient's box must already exist, and no pointer to siblings such as pobox_inbox for reading replies. Adequate but inference-dependent.

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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