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chaandannn

nable (finops-mcp)

create_scorecard_tickets

Creates tickets for scorecard dimensions scoring below a threshold to track and remediate FinOps efficiency gaps.

Instructions

Create tickets for scorecard dimensions scoring below a threshold. Helps teams track and remediate FinOps efficiency gaps.

Args: score_threshold: Create tickets for dimensions below this score (default 50) team: Scope to a specific team tag (optional)

Examples: - "Create tickets for all failing scorecard dimensions" - "File issues for the platform team's low scores" - "Open Jira tasks for scorecard dimensions below 40"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamNo
score_thresholdNo
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 only states that tickets are created for remediation, but does not disclose whether the action is mutating/destructive, what system tickets are created in, required permissions, rate limits, or reversibility. This lack of transparency could lead to incorrect expectations.

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 concise and well-structured: a clear purpose sentence, a brief value statement, explicit args with defaults, and relevant examples. Every sentence contributes useful information without redundancy.

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?

The description adequately covers purpose and parameters, and examples help ground it. However, it omits behavioral context (e.g., where tickets are created, permission requirements, whether the action is reversible) and does not describe return values. Given the simplicity of the tool (2 optional params, no output schema), this is moderately complete but leaves gaps for an agent unfamiliar with the system.

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?

The description explains both parameters (score_threshold and team) with defaults and optionality, and provides examples that illustrate their use. Since schema description coverage is 0%, the description fully compensates, adding clear meaning beyond the raw schema properties.

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 tool's purpose: creating tickets for low-scoring scorecard dimensions to track and remediate FinOps gaps. The verb 'Create tickets' and resource 'scorecard dimensions' are specific. However, it does not explicitly differentiate from sibling ticket creation tools like create_anomaly_tickets or create_rightsizing_tickets, though the name implies scorecard-specific functionality.

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 examples but no explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or scenarios where other ticket creation tools would be more appropriate. The absence of usage context makes it harder for an agent to select correctly among similar siblings.

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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