Instruct the gateway to rotate an API key.
| Name | Required | Description | Default |
|---|---|---|---|
| key_prefix | Yes | First 8 chars of the key to rotate |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / properties / confirmRemoved value: -{
- "description": "Must be true to confirm rotation intent",
- "title": "Confirm",
- "type": "boolean"
-}Input schema / properties / key_prefixAdded value: +{
+ "description": "First 8 chars of the key to rotate",
+ "title": "Key Prefix",
+ "type": "string"
+}Input schema / requiredPrevious value: -[
- "confirm"
-]New value: +[
+ "key_prefix"
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already indicate a destructive, non-read-only operation, and the description adds no further behavioral context such as whether the old key is immediately invalidated, whether permissions are required, or what the side effects are. It neither contradicts annotations nor enriches them.
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?
The description is a single, concise sentence that front-loads the core action. It has no fluff, but it is so minimal that it misses opportunities to add helpful context without becoming verbose.
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?
Given the simple parameter set, destructive annotation, and presence of an output schema, the description is minimally viable but not complete. It could mention the impact of rotation (e.g., old key becomes invalid) to better prepare the agent for consequences.
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 fully documents the key_prefix parameter with a clear description ('First 8 chars of the key to rotate'). Since schema coverage is 100%, the description does not need to add parameter-level detail, and it does not. This meets the baseline for schema-driven semantics.
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 uses a specific verb 'rotate' and identifies the resource 'API key', making the tool's purpose clear. It does not explicitly distinguish this from sibling tools like thinkneo_manage_secrets, but the action is specific enough to avoid confusion.
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?
There is no guidance on when to use this tool, what prerequisites exist, or how it compares to alternative tools. The description simply states the action without any contextual 'when' or 'when-not' information.
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.