meta.health

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

No annotations are provided, so the description carries the burden. It discloses that the tool performs network checks against GitHub and Groq, which is meaningful behavioral context. However, it does not explicitly state that it is read-only or describe potential error handling if services are unreachable, though the health-check nature implies safety.

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 a single sentence, directly starts with the main purpose, and includes only essential details. Every word earns its place, 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?

The tool is simple (zero parameters, health check), and the description covers the core functionality. An output schema exists, so return values need not be described. While it could mention that this is a read-only diagnostic, the description is sufficient for the tool's low complexity.

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 zero parameters, so the baseline is 4 per the rubric. The description does not need to explain parameters, as there are none. The description adds no parameter information, but none is required.

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 explicitly states 'Check connectivity' and names specific resources (GitHub API rate limit and live Groq LLM ping). This clearly differentiates from sibling tools that operate on GitHub PRs/issues or AI summaries, so the purpose is 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 implies usage for connectivity checks but does not explicitly state when to use this tool versus alternatives, nor does it mention exclusions. No guidance is given on when not to use it, so it relies on the agent to infer context from the tool name and sibling group.

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