get_learn_hub_health

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, so the safety profile is clear. The description adds value by detailing the specific checks performed (endpoints, RSS MIME, redirect), confirming read-only behavior, and noting that no login is required. No contradiction with annotations.

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 consists of two concise sentences with no extraneous information. The first sentence front-loads the purpose and specific actions; the second reinforces key traits and usage context.

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 the tool's simplicity (no parameters, comprehensive annotations), the description is largely complete: it specifies what is checked, that it is read-only, and when to use. It does not describe the return format, but for a health check this is often implicit. A slight improvement could mention the expected output type.

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 are zero parameters, and schema coverage is 100%. The description does not need to explain parameters; the baseline for no parameters is 4.

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 specifies the tool checks the health of AlgoChains Learn Hub by verifying HTTP status of specific endpoints, RSS MIME, and subdomain redirect. It distinguishes itself from sibling tools like get_tower_health or get_bot_health by explicitly naming the target and stating it is read-only and does not deploy.

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 explicitly states when to use: 'Use to verify the live Learn Hub is up and public (no login required).' It does not mention alternatives or when not to use, but the context is clear enough for the agent.

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