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AIWorkhub

AIWorkhub

by shrec
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

aiworkhub_task_dependency_autolaunch_reconcile

Launches dependency-ready child tasks during startup reconciliation, bounded by capacity, and defers overflow with a capacity reason.

Instructions

MANAGER WRITE: bounded startup reconciliation for dependency-ready children.

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": "aiworkhub_task_dependency_autolaunch_reconcile"
  }
}

Input Schema

NameRequiredDescriptionDefault
capacityNoMaximum number of dependency-ready children to launch in this pass; the rest are delayed with reason capacity. Omit for no limit.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.12.67
    • addedInput schema / properties / capacity / description
      Added value: +"Maximum number of dependency-ready children to launch in this pass; the rest are delayed with reason capacity. Omit for no limit."
  2. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

The annotations already declare this is a non-read-only, non-destructive, closed-world write. The description adds modest context beyond that by calling it a bounded manager write at startup for dependency-ready children, but it does not explain what is actually created or launched, whether the operation is idempotent, or what happens on repeat runs.

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 description is a single front-loaded sentence with no wasted text, starting with the 'MANAGER WRITE' signal. It is appropriately terse, though the terseness contributes to the other clarity gaps.

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?

Annotations, a complete parameter schema, and an output schema carry much of the burden, so the description need not explain return values. Even so, it leaves the operational effect unclear: an agent knows it is a bounded startup reconciliation but not exactly what gets launched or how to choose this over similar task-launch/reconciliation tools.

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?

There is only one optional parameter, and the schema description coverage is 100%, including a clear explanation of capacity and what happens to excess children. The main description adds no parameter meaning beyond that, so the baseline of 3 is appropriate.

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 an action ('reconciliation') and a target ('dependency-ready children') within a 'startup' context, so it is not pure tautology. However, 'reconciliation' is jargon-heavy and the sentence never states plainly that this launches tasks, nor does it distinguish the tool from nearby siblings such as aiworkhub_task_auto_pickup_dryrun or aiworkhub_manager_reconcile_dead_processing.

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?

'Startup' implies the timing for this tool, giving at least implied usage guidance. But there is no explicit when-to-use, when-not-to-use, prerequisite, or named alternative, which is a significant gap given the very large sibling set.

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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