update_ai_config

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

With no annotations provided, the description carries full burden. It only says 'Update' and describes the argument, but doesn't disclose side effects, permission requirements, rate limits, or what happens to existing settings. No mention of the output schema.

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 concise with two sentences and an Args list. No extraneous information, though a brief note on return value would improve utility without adding much length.

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 simple update tool with one parameter and an output schema present, the description is adequate but incomplete. It doesn't explain the return value or possible errors. Since the output schema exists, the agent might infer structure, but the description should mention it.

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 parameter 'config' is a generic object with no schema details. The description adds 'AI provider settings (API keys, model selection, etc.)' giving context, but it remains vague. Schema description coverage is 0%, so the description compensates partially but insufficiently.

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 'Update AI provider configuration' with a specific verb and resource, distinguishing it from 'get_ai_config'. However, it doesn't explicitly differentiate from other configure_* tools, which are about different domains (integration, logs, etc.).

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?

No explicit guidance on when to use this tool vs alternatives like 'get_ai_config' or other configuration tools. The description does not mention prerequisites or exclusions.

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