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OMENZ agent tools

queue_enqueue

Agent Workforce: add a job (title, payload, priority, not_before, repeat_every_minutes, max_attempts, bidding). Owner key. Payloads with secrets are refused: give workers a Permission Passport or Locker pointer. Header X-Queue-Key. By OMENZ. (MCP calls run in AYNE, the free playzone; production: POST https://www.omenz.org/api/tollbooth/v1/queue/enqueue, $0.001 via x402.)

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": "queue_enqueue"
  }
}

Input Schema

NameRequiredDescriptionDefault
titleNo
payloadNo
priorityNo
queue_idNo
x_queue_keyNothe key returned by create (sent as a header on HTTP)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does add real value: the auth header (X-Queue-Key), the secret-refusal policy, the Permission Passport/Locker workaround, and the free-vs-production endpoint with a $0.001 x402 cost. What it omits is equally important for a write tool — no mention of what is returned (job id?), no idempotency/duplicate behavior, and no explanation of what repeat_every_minutes or bidding actually do.

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 purpose is front-loaded in the first clause, which is good, but the body is a dense run-on of parentheticals mixing field lists, policy, auth, vendor branding, and a production URL. Every element is individually relevant, yet the flat structure makes it hard to scan. Trimming the branding and reconciling the field list would tighten it considerably.

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?

Five parameters, zero required fields, no annotations, and no output schema is a combination that demands more from the description than this delivers. It never clarifies which fields are actually needed to enqueue successfully, what queue_id selects, or what the caller gets back, and it advertises parameters the schema does not contain.

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

Parameters2/5

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

Schema coverage is only 20% (only x_queue_key is documented), so the description must compensate and largely fails. It lists not_before, repeat_every_minutes, max_attempts and bidding, none of which exist in the input schema, while queue_id — an actual parameter — is never mentioned at all. This misalignment actively misleads about what can be passed.

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 verb+resource pair is specific: 'add a job' to a queue, with the payload fields enumerated up front. It is distinguishable from the sibling queue_create (which presumably creates the queue rather than a job), though the description never states that contrast explicitly. The parenthetical marketing tail ('By OMENZ') and endpoint URL dilute but don't obscure the purpose.

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 statement of when to enqueue versus when to use queue_create, queue_bid, or queue_award, and no prerequisites are spelled out. The only conditional guidance is a negative rule ('payloads with secrets are refused'), which constrains the call but doesn't route the agent among alternatives. Usage must be inferred entirely 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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