log_analyze

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

Annotations are absent, so the description must disclose side effects, permissions, or output behavior, but it only states that logs are analyzed. It doesn't clarify whether the operation is read-only, whether it accesses remote systems, or what form the analysis result takes.

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 a single front-loaded sentence with no filler; the verb and object appear immediately. It is efficient structurally, though it sacrifices substantive detail for brevity.

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?

With no annotations, no output schema, and 4 parameters, the definition is too sparse to support confident invocation. It omits return value, side effects, and any differentiation from closely related sibling tools.

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?

The schema describes log_path and time_range, but api_key has no schema description and level only has an enum/default. The description adds no parameter-level meaning, so an agent cannot infer why api_key is needed or how level and time_range affect the analysis.

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 uses a specific verb ('Analyze'), names the resource ('log files'), and identifies intended outcomes ('error patterns, anomalies, and trends'). However, it doesn't distinguish itself from sibling tools like log_search or log_correlate, so an agent still needs additional inference to pick the right one.

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?

No guidance is provided on when to use this tool versus alternatives such as log_search, log_recommend, or log_correlate. There are no exclusions, prerequisites, or alternative routing cues, so the agent gets no decision support.

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