simulation.generate_agents

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

No annotations are provided, so the description must disclose behavior. It mentions generation from 'Memoire research evidence' but does not explain what that entails, side effects, or output format. Minimal behavioral info.

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

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

Single sentence with 15 words, no filler. Concise and to the point, but could include more detail without losing efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no output schema, the description omits return value, prerequisites, and the nature of 'Memoire research evidence'. Insufficient for an agent to fully understand consequences.

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

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

Schema description coverage is 100%, so baseline is 3. The description clarifies default count (20-60) and mentions 'model-swarm' as default adapter, adding marginal context. However, the count range partly contradicts schema (min=1 vs described 20-60).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Generate'), resource ('a 20-60 agent model-swarm cohort from Memoire research evidence'), and a key differentiator ('without starting a run'). It clearly distinguishes from siblings like simulation.run and simulation.plan.

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

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

Implicitly suggests use when agents are needed without running, but does not explicitly state when to use this tool vs alternatives (e.g., simulation.run). No exclusions or prerequisites are mentioned.

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