First look at a window

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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it does well by detailing the exact contents of the response and the baseline comparison behavior. It does not discuss authorization, latency, or cost, but the 'Everything needed in one request' framing plus the enumerated outputs gives the agent a solid behavioral model.

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 with no filler and front-loads the tool's purpose in the first sentence. The first sentence is a dense list, but it earns its length by enumerating all the value the tool provides; the second sentence is directly actionable.

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 tool with 5 parameters, no output schema, and no annotations, the description covers the essential context: what the tool returns, when to use it, and which sibling tools to turn to next. It does not mention potential caveats like index availability or permission requirements, but the parameter schema and clear usage guidance make this a nearly complete definition.

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 100%, so the baseline is 3. The description adds conceptual context, such as the baseline being used for the 'unusual' ranking and the window being the investigation period, but it does not substantially extend the parameter-level meaning beyond what the schema already provides.

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 identifies es_overview as the first-request investigation tool, listing exactly what it returns: log volume over time, error count/rate, source namespaces/containers, unusual containers relative to a baseline, and sample error lines. It also distinguishes itself from siblings by positioning itself as the opening move before es_patterns, es_why, or es_trace.

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 tells the agent when to call this tool: FIRST for 'what is going on', 'is anything wrong', or the start of an incident. It also names the sibling tools to use afterward for narrowing down, giving clear routing guidance without ambiguity.

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