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cos_dispatch_parallel_run

Run multiple formula-agents concurrently when a supervisor requests parallel dispatch. Persists each output to the bundle and returns results in input order.

Instructions

Spawn multiple formula-agents concurrently via asyncio.gather. Use when the supervisor returns action='dispatch_parallel' (e.g. security_auditor layers). Each output is persisted to the bundle. Returns list of DispatchResults in input order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNo
effortNo
adapterNo
intensityNostandard
timeout_sNo
complexityNo
persona_idYes
session_idYes
formula_idsYes
task_markerYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so description bears the full transparency burden. It discloses concurrency (asyncio.gather), side effect of persisting outputs to the bundle, and return behavior (list in input order). This is useful, though it omits failure semantics and permission requirements.

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

Conciseness5/5

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

Three sentences deliver purpose, trigger, and behavior without padding. Front-loaded main action, efficient.

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?

The description covers core context but, with 10 parameters and no schema descriptions, lacks parameter semantics; output schema mitigates return-value ambiguity. Failure handling and edge cases are absent, so it's not fully complete for a parallel-dispatch tool.

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 0%, and the description offers almost no parameter-level explanation. 'Formula-agents' loosely maps to formula_ids, but values like session_id, task_marker, persona_id, model, effort, intensity, timeout_s, and complexity remain unexplained.

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?

Specific verb 'spawn' plus 'multiple formula-agents concurrently' clearly identifies what the tool does. The mention of asyncio.gather distinguishes it from sibling cos_dispatch_formula_run, which likely handles single dispatch.

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

Usage Guidelines4/5

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

Description explicitly states 'Use when the supervisor returns action='dispatch_parallel'' (with example context), providing a clear trigger. It does not name alternatives or exclusions, so it stops short of a full 5.

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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