compare_baseline

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

No annotations are provided, and the description does not mention permissions, side effects, read-only or non-destructive guarantees. It conveys that the tool compares/analyzes windows and highlights deviations, but stops short of safety/authorization 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?

Description is dense but compact, conveying multiple signals (missing templates, new templates, numeric drift, distribution change) in two sentences without redundancy.

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?

No output schema exists, and the tool has 8 parameters and various window/config options but no return-type clarification or operation scope. The description packs meaningful logic signals but omits technical details like how results are returned and required access.

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?

Parameter coverage is low (2/8 properties have descriptions). The description adds meaning for 'range' and 'baselineOffset' (e.g., '1h', 'yesterday same time', 'prev window'), but names like 'project', 'datasourceUid', 'labels' are under-specified.

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 states a specific action ('compare with baseline window') and identifies the trigger ('go-to when logs all normal but results wrong'), plus the artifacts detected (missing templates, new templates, value deviations, field distribution changes). It lacks explicit differentiation from sibling tools but is otherwise precise.

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?

Explicitly recommends as the first choice for the condition 'logs normal but results incorrect', and clarifies the default baseline window ('previous day same time'). It does not give exclusion or alternatives.

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