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analyze_notifications

Analyze active email notifications on a ServiceNow table to identify issues like missing conditions, recipients, subjects, or weight conflicts, and get recommendations.

Instructions

Analyze all active email notifications for a ServiceNow table.

Checks for:

  • Notifications with no condition or event (fires on every record)

  • Notifications with no recipients (goes nowhere)

  • Notifications with weight = 0 (potential conflicts)

  • Missing subjects

Returns a notification inventory plus issues and recommendations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableYesTable name to analyze (e.g. "incident")
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the checks performed and return structure, implying a read-only analysis. However, it does not explicitly state that it is non-destructive or mention permissions/performance implications, leaving some gaps.

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 highly concise and well-structured. It starts with the main purpose, uses a bullet list for readability, and contains no superfluous text.

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

Completeness4/5

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

For a single-parameter analysis tool with no output schema, the description sufficiently explains inputs, checks performed, and output type (inventory plus issues/recommendations). However, it could mention any limits or return format specifics for completeness.

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 coverage is 100%; the description adds minimal extra meaning beyond the schema's parameter description. The tool description repeats the table focus but does not provide additional syntax or format details, so baseline of 3 is appropriate.

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 clearly states it analyzes active email notifications for a ServiceNow table, listing specific checks (conditions, recipients, weight, subjects) and outputs (inventory plus issues/recommendations). This distinguishes it from sibling tools like analyze_dependencies, analyze_flow, etc.

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

Usage Guidelines3/5

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

The description implies the tool is for analyzing notifications but does not explicitly state when to use it versus alternatives, nor does it provide when-not or prerequisite context. Usage is implied but not guided.

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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