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trigger_agentic_playbook

Invoke context-aware AI agents to complete ServiceNow tasks autonomously using Agentic Playbooks.

Instructions

Invoke an Agentic Playbook — context-aware AI agents that complete tasks autonomously

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playbook_sys_idYesSystem ID of the Agentic Playbook
contextNoContext key-value pairs to pass to the playbook
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'invoke' suggests execution and 'autonomously' hints at independent operation, the description lacks critical details: whether this is a read or write operation, what permissions are required, whether it's synchronous or asynchronous, what happens on failure, or any rate limits. For a tool that likely triggers significant automation, this is inadequate.

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?

The description is a single, efficient sentence that gets straight to the point. Every word earns its place - 'Invoke' (action), 'Agentic Playbook' (resource), and 'context-aware AI agents that complete tasks autonomously' (key characteristics). No wasted words or redundant information.

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?

For a tool that triggers autonomous AI agents (potentially complex operations with significant consequences), the description is insufficient. With no annotations, no output schema, and minimal behavioral context, an agent lacks critical information about what this tool actually does, what to expect as output, and what the implications of invocation might be.

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?

Schema description coverage is 100%, so the schema already documents both parameters. The description mentions 'context-aware' which aligns with the 'context' parameter, but adds no additional semantic meaning beyond what the schema provides. The baseline of 3 is appropriate when the schema does the heavy lifting.

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 the action ('Invoke') and resource ('Agentic Playbook'), and specifies that these are 'context-aware AI agents that complete tasks autonomously'. This provides a specific verb+resource combination, though it doesn't explicitly distinguish from sibling tools like 'trigger_flow' or 'run_security_playbook'.

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?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools that might handle automation or task execution (like 'trigger_flow', 'run_security_playbook', 'execute_background_script'), there's no indication of what makes this tool distinct or when it should be preferred over other automation tools.

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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