atlas_serving_reliability

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

No annotations are provided, so the description carries full burden. It discloses the tool covers health, uptime, and latency but does not mention data freshness, caching, side effects, or authentication requirements. For a read-only dashboard, this is minimal transparency.

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?

Two sentences (20 words) with zero waste. Front-loaded key information and efficiently conveys purpose. Every sentence earns its place.

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 no parameters and no output schema, the description provides a high-level sense of output (health/uptime/latency across endpoints) but lacks detail on format or interpretation. Sibling tools are numerous but this simple health check is adequately covered for basic usage, though more completeness would improve agent invocation.

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?

No parameters are defined; schema coverage is 100%. The description adds no parameter-specific meaning, but with zero parameters, the baseline is 4 per guidelines. No additional information needed.

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?

Description clearly states the tool is a dashboard for ML serving reliability, covering health, uptime, and latency across 30+ endpoints. It specifies the action 'call to check whether the ML stack is healthy,' which is a specific verb-resource pairing. This distinguishes it from sibling tools that focus on specific analyses (e.g., anomaly detection, comparisons).

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?

Description implies usage for checking ML stack health but does not explicitly state when to use vs. alternatives or when not to use. No exclusions or context for when this tool is preferred over other atlas_* tools. Adequate but lacks explicit guidance.

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