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simulation.generate_agents

Create a model-swarm cohort of 20 to 60 agents from Memoire research evidence, ready for simulation without initiating a run.

Instructions

Generate a 20-60 agent model-swarm cohort from Memoire research evidence without starting a run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoTarget agent count. Model-swarm defaults to 24.
adapterNoAdapter mode. Defaults to model-swarm.
researchNoOptional ResearchStore JSON string. Omit to load workspace research.
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses that no run is started, but does not mention side effects, permissions, or what happens to generated agents.

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?

Single sentence of 14 words, verb first, no filler. Every word adds value.

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?

Adequate for a tool with no output schema and moderate parameters, but fails to explain what 'cohort' means or how agents are stored for later use, leaving some context gaps.

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?

Input schema has 100% coverage with descriptions; description adds only minimal context like 'model-swarm' and 'Memoire research evidence' without providing new meaning beyond schema.

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?

Description states a specific verb 'Generate' and resource 'agent model-swarm cohort from Memoire research evidence', clearly distinguishing from sibling simulation tools, especially by adding 'without starting a run'.

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?

Implied usage for preparing agents before running a simulation, but no explicit when-to-use or when-not-to-use compared to alternatives like simulation.run.

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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