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approve_action

Approve a pending agent action to trigger its execution across connected services like GitHub, Slack, Linear, or PagerDuty.

Instructions

Approve a pending agent action in Novyx Control.

Approves the action and triggers its execution against the target connector (GitHub, Slack, Linear, PagerDuty, or HTTP).

Args: approval_id: The approval ID (e.g. apr_act_xxx). approver_id: Your operator ID (e.g. usr_operator_default). reason: Optional reason for approval.

Returns: JSON string with the executed action details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNo
approval_idYes
approver_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations only provide destructiveHint: false, leaving the description to cover behavioral traits. The description states it triggers execution and returns a JSON string, but does not disclose potential side effects, permissions needed, or failure modes. Adequate but not comprehensive.

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 well-structured with 'Args' and 'Returns' sections, making it scannable. It uses clear, concise language without unnecessary repetition, though slightly longer than minimal.

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?

Given the tool's moderate complexity (3 parameters, output schema exists), the description covers purpose, parameters, return format, and target connectors. It does not discuss error scenarios or prerequisites, but the presence of an output schema reduces the need for detailed return descriptions.

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

Parameters4/5

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

Input schema has 0% parameter descriptions, so the description compensates by explaining each parameter with examples (e.g., 'approval_id: The approval ID (e.g. apr_act_xxx)'). Adds 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 clearly states the tool's action ('Approve a pending agent action'), the context ('Novyx Control'), and the effect ('triggers its execution against the target connector'), with specific connectors listed. This distinguishes it from sibling tools like action_submit or action_history.

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 used for approving pending actions, but provides no explicit guidance on when to use it versus alternatives (e.g., action_submit for new actions), nor does it state when not to use it. Lacks explicit exclusions or comparisons.

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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