Send a test notification through a rule's configured channels to confirm delivery (email/discord/whatsapp). Requires an admin API key.
| Name | Required | Description | Default |
|---|---|---|---|
| rule_id | Yes | The rule_id to test (from thinkneo_alert_rule_list) | |
| workspace | No | Workspace id (optional — defaults to the API key's workspace) |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide no safety hints (all false), so the description carries the burden. It explicitly reveals this is a write action that sends test notifications and requires an admin API key. It doesn't fully disclose potential real-world side effects like live recipients receiving messages, but the term 'test' and 'confirm delivery' make the side effect clear. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence with the action verb first, followed by object, scope, and a conditional requirement. No filler or redundancy; every element is relevant.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple test-action with two parameters and an output schema present, the description covers purpose, scope, channels, and auth. It doesn't need to explain return values since an output schema exists. The phrase 'confirm delivery' implies live endpoint usage, which is sufficient context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already provides 100% coverage with clear descriptions for rule_id (sourced from thinkneo_alert_rule_list) and workspace (defaults to API key workspace). The description adds only the channel types (email/discord/whatsapp), which is already implied by 'configured channels.' Thus the description adds minimal value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with 'Send a test notification' – a specific action on a specific resource ('a rule's configured channels'). It clearly states the goal ('confirm delivery') and lists channel types (email/discord/whatsapp), distinguishing it from sibling CRUD tools like thinkneo_alert_rule_create/delete/list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly contextualizes when to use this tool: when you need to verify delivery through a rule's configured channels. It also notes the admin API key requirement, which helps prevent authentication failures. It doesn't explicitly name alternative tools, but the purpose is clear enough to differentiate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools have overlapping purposes, such as the multiple safety-check tools (thinkneo_check, thinkneo_detect_injection, thinkneo_evaluate_guardrail) and the many cost/reporting tools (thinkneo_agent_roi, thinkneo_decision_cost, thinkneo_business_impact). An agent would struggle to reliably pick the correct tool for a given intent. The boundaries between dashboard, audit, and reporting tools are particularly fuzzy.
All tools share the thinkneo_ prefix, but the remaining naming is inconsistent: some follow verb_noun (check_spend, list_alerts), some use noun_verb (compliance_generate, alert_rule_create), and others are bare nouns (business_impact, cache_status). This mix makes it hard to predict tool names based on action and object.
With 68 tools, this is an extremely large surface area, far beyond the typical 3-15 well-scoped set and even beyond the 25+ heavy threshold. Even for a comprehensive enterprise platform, the sheer number overwhelms an agent's ability to choose effectively. It feels like a kitchen-sink approach rather than a curated toolkit.
The toolset covers a wide range of governance, observability, and cost-management features, but there are notable lifecycle gaps: SLAs can be defined but not updated or deleted, alert rules lack an update operation, and registry entries have no remove/unpublish. Also, policy management is limited to checking, with no create/update tool. The memory tools feel out of place and lack a delete operation.
