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MSPbotsAI

openai-workspace-mcp

by MSPbotsAI

openai_delete_service_account

Delete a service account from an OpenAI project by providing the project ID and service account ID. Fails if the project is archived.

Instructions

Delete a service account from a project. Fails if the project is archived.

    Args:
        project_id: The project's ID (see openai_list_projects).
        service_account_id: The service account's ID (see openai_list_service_accounts).
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
service_account_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 reveals a failure mode (archived project) but omits critical aspects like irreversibility, permission requirements, and potential side effects on related resources.

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 extremely concise: two sentences and a compact Args block. Every sentence earns its place, with no redundant or filler content.

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?

For a simple delete operation with an output schema, the description is adequate but sparse. It includes a failure condition and ID references, yet lacks mention of whether deletion is permanent, any access requirements, or the exact scope of what is deleted. The output schema may clarify return values, but more behavioral context would improve completeness.

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?

The input schema has 0% description coverage, and the description compensates by explaining each parameter: project_id and service_account_id, and directing the user to specific list functions for retrieval. This adds meaningful context beyond the raw schema fields.

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 action (delete a service account) and the scope (from a project). It also provides a specific failure condition (archived project) that distinguishes it from other sibling deletion tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description references openai_list_projects and openai_list_service_accounts for obtaining the required IDs, implying a prerequisite workflow. It also notes that the operation fails if the project is archived, offering clear context for when the tool will work. No explicit alternatives are mentioned, but the purpose is unambiguous.

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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