get_learn_hub_health

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds specific behavioral details (HTTP status checks, MIME type, redirect) and clarifies no deployment occurs. It is consistent with annotations and adds context.

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 two sentences, front-loaded with purpose and specific checks, followed by read-only clarification and usage context. Every sentence adds value with no redundancy or fluff.

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 one-parameter, read-only health-check tool with no output schema and well-covered annotations, the description provides complete context: what endpoints are checked, that it is public, and that it is safe to invoke. No missing information.

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 input schema has 100% parameter description coverage with a default value and description of 'Base URL to check (default: https://algochains.ai)'. The description does not add further meaning beyond what the schema provides, earning a baseline score of 3.

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 specifies the exact endpoints checked (/learn/, /learn/feed.xml RSS MIME, learn.algochains.ai subdomain redirect) and declares it is read-only and does not deploy. This is a specific verb-resource pair that clearly differentiates it from sibling health-check tools.

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 states 'Use to verify the live Learn Hub is up and public (no login required)', which clearly indicates when to use. However, it does not explicitly mention when not to use or suggest alternative tools, though the context of being read-only and focused on one service provides some implicit guidance.

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