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forge_simulate

Automate multi-turn conversation simulations to test and evaluate service responses across different versions and organizations.

Instructions

Run an automated multi-turn conversation simulation against a service.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
service_nameYesThe service name
max_turnsNoMaximum number of turns (default: 10)
initial_messageNoInitial user message
version_setNoVersion set to use (default: release)
org_idNoOrg ID (uses active org if omitted)
Behavior2/5

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

No annotations are present, so the description must disclose side effects, permissions, or resource requirements. It only states 'simulation' without indicating whether it's a read or write operation, or if it creates records. This is insufficient for a complex tool.

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 concise sentence, efficiently communicating the core purpose without unnecessary words. However, it could add value without losing conciseness.

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?

The tool is complex (multi-turn simulation) but the description omits return values, output format, and any behavioral traits. With no output schema, the burden on the description is higher, and it fails to provide a complete picture for the agent.

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?

All 5 parameters are described in the schema (100% coverage), so the description adds no new information. It does not explain parameter interdependencies or defaults beyond what the schema provides, meeting the baseline for full schema coverage.

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?

The description clearly states it runs an automated multi-turn conversation simulation, which is specific and distinguishes from siblings like forge_smoke_test (likely a simpler test) and forge_conversation_evaluate. However, it doesn't specify the output or result format.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs siblings (e.g., forge_smoke_test, forge_conversation_evaluate). No prerequisites or context hints are provided, leaving the agent without decision support.

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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