Read logging messages from a data source

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

The annotations already declare readOnly, idempotent, and non-destructive behavior, which the description reinforces with 'Extract' but does not add new behavioral details. The description also mentions time filtering but does not clarify edge cases or side effects, so transparency relies mostly on annotations.

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 concise sentences with no redundancy or irrelevant details. It directly states the action, the scope (INFO/WARN/ERROR), and the optional filtering, which is efficient and well-structured.

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 description provides the core purpose and usage but omits details about the return format or what happens when no time filter is applied. Since there is no output schema, it should clarify what the tool returns (e.g., a list of messages), but it only implies messages. This leaves some ambiguity for agents.

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 coverage is 0%, so the description must compensate for parameter explanations. It only hints at 'optional time filtering' related to start_seconds and end_seconds, but leaves 'path' and 'args' completely undefined. This is insufficient for an agent to correctly construct the call without additional context.

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 states the tool extracts INFO, WARN, and ERROR messages from a data source, which is specific and distinct from sibling tools that focus on pipelines or queries. It directly names the verb 'Extract' and the resource 'data source', making the purpose 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 explicitly says 'Use for debugging or diagnostics', providing a clear context for when to employ this tool. It also mentions optional time filtering, which further guides usage, but it does not compare against alternatives or state when not to use it, so it is not fully exhaustive.

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