agentic_observability_workflow

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

With no annotations, the description must carry the behavioral burden, and it does disclose that host LLM sampling may be used with a fixed tool-chain fallback. However, it omits safety profile, permissions, failure behavior, and whether the workflow performs only reads or can mutate state.

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, front-loaded with the core purpose and followed by the key fallback behavior. There is no wasted text.

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 multi-step orchestration tool with no annotations and 0% schema coverage, the description is too thin: it does not identify constituent tools, explain the goal input, or describe operational constraints. The output schema covers return values, but the input and orchestration behavior remain underspecified.

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 should explain both parameters, but it only indirectly hints at use_sampling and never defines the required goal parameter. An agent cannot infer expected goal format or the effect of setting use_sampling to false.

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 states a specific activity — multi-step observability triage — and gives an ordered sequence (stack → logs → health). It distinguishes itself from single-purpose siblings by presenting itself as a workflow, though it does not name the concrete tools it orchestrates.

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?

It implies usage for triage scenarios and explains a sampling fallback, but it does not explicitly say when to choose this workflow over calling check_stack_status, query_loki_logs, or monitor_server_health individually. There are no exclusions or prerequisites.

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