AI Configure

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

The annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so "does not change anything" largely restates structured data. The genuinely additive content is the current configured value and the note about which tools set keys; the returned keys are duplicated from the existing 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?

Three compact lines, front-loaded with the read-only nature of the call and the usage trigger. Slight waste in restating the annotation ("does not change anything") and repeating the output shape already covered by the output schema, but nothing bloats the definition.

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 no-required-param, read-only inspection tool with an output schema and full annotation coverage, the description supplies what is missing: the current model value and where configuration changes belong. Nothing essential for correct invocation is absent.

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?

There is a single optional parameter with 100% schema description coverage ("AI provider ids; default ['fal.ai']"), so the schema fully documents it. The description adds no syntax, format, or defaulting semantics beyond that, making 3 the appropriate baseline.

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?

States a specific verb and resource (report the AI provider/model selection) and pins the current value (fal.ai Flux schnell). It also differentiates itself from the mutating alternatives by naming ai_deploy_proxy and backend_deploy, so an agent can tell why this is a read of state rather than a write.

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?

"Use when: checking which image model the backend will use" gives an explicit trigger condition, and the pointer to ai_deploy_proxy/backend_deploy for setting keys routes the agent away from this tool for writes. It stops short of naming read-side alternatives such as config_doctor or setup_status, but the when-to-use guidance is clear.

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