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

Annotations already establish readOnly/idempotent/non-destructive behavior, so the bar is lower. The description still adds real behavioral context: it groups repeated lines, flags messages that also occur on unmodified vanilla servers, and suggests fixes, telling the agent what the analysis actually does beyond a raw dump.

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?

A single front-loaded sentence leads with the verb and resource before enumerating capabilities. It is dense but every clause earns its place by naming a distinct diagnostic; only the final list of failure classes borders on run-on.

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 output schema, the description carries the burden of describing what comes back, and it does so well (per-problem plain-word explanations, grouping, vanilla marking, fix suggestions). The only minor gap is not stating anything about length limits or run cost, which the schema partially covers via the 500k maxLength note.

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%, and the schema itself documents log truncation guidance, the lang enum, and the file_name example. The description adds no parameter-level detail (e.g., how lang affects output beyond the schema note), so the baseline 3 applies.

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 names a specific verb (analyze) and resource (DayZ server log) and enumerates the concrete failure classes it explains (crashes, script errors, broken economy, missing classes, FPS). This clearly separates it from siblings like validate_config_file or get_item, which deal with configs and catalog lookups rather than log diagnosis.

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 gives clear trigger context by naming the exact file types that qualify (.RPT, script_*.log, crash_*.log) and the symptoms worth diagnosing. It stops short of naming an alternative tool or stating when not to use it, so it is clear context without explicit exclusions.

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