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openai-workspace-mcp

by MSPbotsAI

openai_get_service_account

Retrieve details for a single OpenAI service account by providing project ID and service account ID.

Instructions

Get a single service account's details.

    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
Behavior4/5

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

No annotations are provided, so the description carries the full burden. 'Get' clearly implies a read-only operation with no side effects. It doesn't mention permissions or error handling, but for a simple get, this is adequate.

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 compact and front-loaded, with a single sentence defining the purpose followed by concise arg explanations. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple tool with only two parameters, and the description provides complete parameter semantics and workflow references. The presence of an output schema means return values need no explanation, so the description is fully adequate.

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

Parameters5/5

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

Schema description coverage is 0%, but the description explains each parameter and points to list functions for sourcing IDs, adding significant meaning beyond the bare schema. This helps the agent invoke the tool correctly.

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 states 'Get a single service account's details', which is a specific verb+resource. It clearly distinguishes this from sibling tools like list (multiple), create, update, and delete service accounts.

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?

It provides clear context by referencing openai_list_projects and openai_list_service_accounts for obtaining the required IDs, implying a workflow. It does not explicitly state when not to use it, but the 'single' qualifier and references provide enough guidance.

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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