Skip to main content
Glama

OMENZ agent tools

queue_complete

Agent Workforce: worker finishes its leased job with a result; repeating jobs are rescheduled automatically. Header X-Queue-Key. By OMENZ. (MCP calls run in AYNE, the free playzone; production: POST https://www.omenz.org/api/tollbooth/v1/queue/complete, $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_complete"
  }
}

Input Schema

NameRequiredDescriptionDefault
resultNo
item_idNo
queue_idNo
worker_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

B3.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the X-Queue-Key header, automatic rescheduling of repeating jobs, and free playzone versus paid production endpoint, but it omits idempotency, error behavior, precise state changes, and return behavior.

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?

The core purpose is front-loaded and the description is short overall. 'By OMENZ' is unnecessary, and the production endpoint/payment parenthetical is somewhat peripheral, though it does add operational context.

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 five-parameter mutation with no annotations and no output schema, the description should clarify parameter roles, auth/key requirements, state changes, and failure or return behavior. It covers some environment and cost context but leaves substantial gaps.

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 description coverage is only 20%, and the only documented parameter is x_queue_key, which the description also mentions as a header. The prose mentions 'result' but gives no semantics for item_id, queue_id, or worker_id, so the low schema coverage is not compensated.

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?

States a specific action: a worker finishes its leased job with a result, and notes that repeating jobs are rescheduled automatically. This is clear enough to distinguish the basic operation, though it does not explicitly distinguish queue_complete from siblings such as queue_fail or queue_claim.

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?

The phrase 'worker finishes its leased job with a result' implies this is called after a job has been leased and completed. However, it gives no explicit when-to-use guidance versus queue_fail or queue_claim, and no prerequisites or exclusions are stated.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources