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chaandannn

nable (finops-mcp)

create_ticket

Create a ticket in Jira, Linear, or GitHub Issues to track FinOps action items with custom title, body, priority, and labels.

Instructions

Create a ticket in the configured ticketing system (Jira, Linear, or GitHub Issues) with a custom title and body. Use this for any finding, recommendation, or action item that doesn't fit a specific category.

Args: title: Ticket title / issue summary body: Full ticket description with context and action items priority: "low", "medium", "high", or "critical" (default: medium) labels: Optional list of labels/tags to apply (default: ["finops"])

Examples: - "Create a Jira ticket to disable Textract in non-prod environments" - "File a GitHub issue to switch LambdaClassifier from Sonnet to Haiku" - "Open a Linear task for the NAT gateway consolidation"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
titleYes
labelsNo
priorityNomedium
Behavior3/5

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 that it creates a ticket in a configured system, implying mutation and external interaction. However, it omits essential behavioral traits such as authentication requirements, rate limits, idempotency, or what happens if the system is not configured. Additionally, there is a discrepancy: the schema default for 'labels' is null but the description claims default ['finops']. This reduces transparency.

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 moderately concise with two paragraphs and three relevant examples. It front-loads the purpose and includes an args section. However, the examples and arguments could be more tightly integrated, and the default label discrepancy adds confusion. Overall, it earns its place without significant verbosity.

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?

The tool creates external resources and has no output schema, so the description should explain return behavior (e.g., ticket URL, ID) and error handling (e.g., system unreachable, invalid priority). It fails to do so, leaving a critical gap. Without this, the agent cannot reliably interpret the tool's result or handle failures. This incompleteness significantly reduces its value.

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 0%, so the description must compensate. It explains title ('Ticket title / issue summary'), body ('Full ticket description with context and action items'), priority (lists possible values and default 'medium'), and labels ('Optional list... default: ["finops"]'). However, the default for labels is stated as ['finops'] while the schema defaults to null, creating a contradiction that misleads the agent. Also, no description of allowed values or format for labels beyond this.

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 the verb 'Create a ticket' and specifies the resource 'configured ticketing system (Jira, Linear, or GitHub Issues)'. It also distinguishes itself from specialized ticket creators by stating 'use this for any finding, recommendation, or action item that doesn't fit a specific category', making its purpose and differentiation explicit.

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 provides explicit usage context: 'Use this for any finding, recommendation, or action item that doesn't fit a specific category.' This implicitly tells when to use this tool over sibling specialized ticket creators (e.g., create_anomaly_tickets, create_rightsizing_tickets). However, it does not explicitly list alternative tools or conditions for not using it, which would strengthen guidance.

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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