get_ai_provider_settings

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

With no annotations, the description carries full burden for behavioral disclosure. It only states 'GET' without explaining response contents, authentication needs, or any side effects. For a read operation, minimal information is provided, leaving uncertainty about what the tool actually returns.

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 very short (one line) and includes the endpoint in brackets. While concise, it lacks structure and could benefit from a brief sentence about the function. It is adequate but not optimally organized.

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 zero parameters and no output schema, the description is minimally complete. However, it fails to specify important context such as whether the settings are global or group-specific, or any prerequisites. The sibling tools imply group context, but this is not stated.

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 tool has zero parameters, and the schema covers them completely (100%). Since there are no parameters to describe, the baseline according to guidelines is 4. The description appropriately includes no parameter details.

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 clearly states the tool retrieves AI provider settings, and includes the HTTP endpoint for reference. However, it does not distinguish this from sibling tools like 'groups_ai_providers_get_ai_provider' or 'update_ai_provider_settings', which could cause confusion for an AI agent.

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 provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, scope (e.g., group-level settings), or when not to use it. The AI agent is left to infer context from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.