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list_symptom_definitions

Read-onlyIdempotent

Retrieve symptom definitions with optional filters by name or resource kind. Obtain IDs to use when creating alert definitions.

Instructions

[READ] List symptom definitions — use the returned IDs when calling create_alert_definition.

Args: name_filter: Optional substring to filter by symptom name (case-insensitive). resource_kind: Optional resource kind filter, e.g. VirtualMachine, HostSystem. limit: Maximum number of symptom definitions to return (1–500). Default 100. target: Optional Aria Operations target name from config. Uses default if omitted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
name_filterNo
resource_kindNo
limitNo
targetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds behavioral context: it is a read operation that lists definitions with optional filters and a limit, which complements the annotations well. No contradictions.

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 very concise: a brief introductory sentence followed by a clear bullet-style list of arguments. Every sentence provides necessary information without redundancy.

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

Completeness5/5

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

Given the presence of an output schema (not shown), the description does not need to detail return values. It covers the tool's purpose, parameter usage, and chaining to create_alert_definition, making it fully complete for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description thoroughly explains all four parameters: name_filter (substring filter, case-insensitive), resource_kind (resource kind filter), limit (range and default), and target (optional, from config). This adds significant meaning beyond the bare schema.

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 explicitly states 'List symptom definitions' and explains the purpose: 'use the returned IDs when calling create_alert_definition'. It clearly distinguishes from sibling tools like list_alert_definitions by specifying 'symptom definitions', making the purpose unambiguous.

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?

The description implies usage context by linking to create_alert_definition, but does not explicitly state when not to use or list alternatives. However, the purpose is clear enough for an agent to decide, though no exclusion criteria are given.

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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