Create Groups Ai Providers Providers By Provider Test

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

With no annotations, the description carries the full behavioral disclosure. It reveals that the tool accepts optional unsaved edits, and more importantly, it discloses the non-obvious behavior that an overrides.apiKey of '' is treated as 'keep the saved key' rather than an empty test value. This is valuable behavioral context. It doesn't mention side effects (e.g., whether a real network call is made) or error handling, but the core behavior is well covered.

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 the main purpose in the first sentence and the nuanced behavior in a second paragraph. It front-loads the core function and then provides necessary detail. The structure is logical, though the second paragraph could be more compact. Overall, it's efficient and readable without excessive verbosity.

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 that an output schema exists, the description doesn't need to explain return values. It covers the primary usage scenario (testing saved providers with optional overrides) and the critical edge case. It doesn't mention prerequisites (e.g., permission requirements) or what happens when the provider_id is invalid, but these are less critical for a test tool. The description is sufficiently complete for an agent to understand how to use it correctly.

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?

Schema description coverage is 0%, so the description must compensate. It explains the purpose of the body parameter (optional unsaved edits) and gives specific meaning to the apiKey field (empty means keep saved key). However, it doesn't elaborate on other parameters like baseUrl, timeout, requestParams, requestHeaders, or accept-language, leaving them to the schema's bare structure. The description adds value for the most critical parameters but not comprehensive semantics for all fields.

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's purpose: 'Test connectivity for an already-saved provider.' It specifies the verb (test), the resource (provider), and the key distinction from the sibling tool create_groups_ai_providers_providers_test, which is implied to test unsaved providers. The explanation of optional unsaved edits further clarifies its scope, making it unambiguous.

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 concrete usage context: it explains when to use this tool versus a 'plain unsaved test' by describing the scenario where the caller has changed model/base_url but left the API key blank. It also states that an empty apiKey override means 'keep the saved key,' which is a specific condition. However, it does not explicitly name the alternative sibling tool or provide a direct when-to-use/when-not-to-use comparison.

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