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list_discovery_schedules

Retrieve and monitor ServiceNow discovery schedule configurations and execution status to manage automated infrastructure detection processes.

Instructions

List discovery schedules and their run status

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
active_onlyNoOnly show active schedules
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool lists schedules and run status, implying a read-only operation, but doesn't clarify permissions, pagination, rate limits, or what 'run status' entails (e.g., success/failure, timestamps). For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior and constraints.

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 directly states the tool's function without unnecessary words. It's front-loaded with the core purpose and appropriately sized for a simple list tool, making it easy to parse quickly.

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?

Given the tool's low complexity (one optional parameter, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks details on output format, error handling, or integration with other tools. For a list operation, it's functional but could benefit from more context about the returned data structure or typical use cases.

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?

The input schema has 100% description coverage, with one parameter ('active_only') fully documented in the schema. The description doesn't add any parameter-specific information beyond what the schema provides, such as examples or edge cases. With high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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

Purpose3/5

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

The description states the tool's purpose ('List discovery schedules and their run status'), which is clear but vague. It specifies the verb ('List') and resource ('discovery schedules'), but doesn't explain what discovery schedules are or differentiate from sibling list tools like list_workspaces or list_assets, which follow a similar pattern. The purpose is understandable but lacks specificity.

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. It doesn't mention prerequisites, context, or exclusions, and with many sibling list tools (e.g., list_workspaces, list_assets), there's no indication of how this tool fits into the broader workflow. Usage is implied only by the name and description, lacking explicit instructions.

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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