create_admin_debug_openai_by_providerCreates an administrator-level debug session for OpenAI using a specific provider ID to diagnose integration issues.
Debug Openai
| Name | Required | Description | Default |
|---|---|---|---|
| image | No | ||
| provider_id | Yes | ||
| accept-language | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v3.20.1Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing behavior. 'Debug Openai' reveals nothing about side effects, required permissions, response behavior, or what happens when the tool is invoked.
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 short, but this is under-specification rather than effective conciseness. It has no front-loaded useful information and does not earn its place as a functional description.
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 tool with a required UUID parameter, optional binary image input, and a debug purpose, this description is completely inadequate. The output schema exists, but the agent still cannot understand what the tool does, when to call it, or how to use its parameters correctly.
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?
Schema description coverage is 0%, and the description adds no meaning to any parameter. The schema shows provider_id, image, and accept-language, but the description does not explain their roles, relationships, or expected values beyond the raw constraints.
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 is only 'Debug Openai', which essentially paraphrases the tool name/title without adding specifics. It does not state what 'debug' entails, whether it creates a debug artifact, or how it differs from sibling admin/provider tools.
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 versus alternatives such as create_admin_groups_by_group_ai_providers_providers or other OpenAI-related endpoints. The agent is left to infer usage solely from the name and schema.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.