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simulate_business_workflow

Read-onlyIdempotent

Dry-run a compiled workflow with synthetic events to validate trigger flow, approval pauses, and terminal behavior before publishing. No agents or external writes are invoked.

Instructions

Dry-run a compiled workflow within its bound using synthetic events.

The simulator never invokes agents, connectors, or external writes. Use it to prove trigger flow, approval pauses, and terminal behavior before asking Agent Builder to publish the validated definition.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventsNo[]
approvalsNo{}
loop_iterationsNo
workflow_definitionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv0.1.1

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already provide readOnlyHint, idempotentHint, and destructiveHint false. The description adds important behavioral context: the simulator never invokes agents, connectors, or external writes, and it operates on a compiled workflow with synthetic events. This goes beyond the structured annotations and clarifies the tool's safety envelope.

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 compact and front-loaded: the first sentence states the core purpose, the second adds safety and usage context. It avoids filler, though the phrase 'within its bound' is slightly vague.

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 output schema and annotations cover return values and side-effect safety, but for a tool with 0% schema description coverage and four parameters, the description leaves input formats underspecified. It is enough for tool selection and a basic mental model, but not fully sufficient for confident invocation without additional inference.

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%, so the description must compensate, but it only obliquely references 'synthetic events' and 'approval pauses'. It does not explain the expected format or semantics of events, approvals, loop_iterations, or workflow_definition, leaving the agent to infer too much from names and defaults.

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?

The description states a specific verb and resource: 'Dry-run a compiled workflow' with 'synthetic events'. It also distinguishes itself from real workflow execution by saying it 'never invokes agents, connectors, or external writes' and is meant for validation before publishing, setting it apart from sibling tools like run_workflow or trigger_workflow.

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?

It provides clear usage context: use it to prove trigger flow, approval pauses, and terminal behavior before asking Agent Builder to publish. It implies when not to use it (when actual execution or external side effects are desired) but does not explicitly name alternative tools or state exclusions.

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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