analyze_error_log

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

With no annotations, the description is the sole source of behavioral cues. It implies a read-only analysis by stating 'provide suggestions for fixes', but it does not explicitly confirm non-destructive behavior, nor does it disclose if the tool modifies any state or requires specific permissions. The schema parameter note about 'will try to find log file' hints at file system interaction, but this is not clarified in the description.

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 sentence, which is concise but lacks structure. It does not front-load key details such as the input type or output format. While every word is necessary, the brevity results in under-specification rather than efficiency.

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?

Given the simple interface (one optional parameter, no output schema), the description is too sparse. It fails to explain what 'suggestions for fixes' look like, how the log content is used, or whether there are any limits. The agent would need to infer significant details to use the tool correctly.

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% for the single parameter 'logContent', which is already described as optional and will attempt to find a log file. The tool description adds no new semantic information beyond this, so it meets the baseline but does not enhance understanding.

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 it analyzes Godot error logs and provides suggestions for fixes. It uses a specific verb-resource combination that distinguishes it from siblings like analyze_crash_dump (crash dumps) and analyze_script (scripts). However, it could be more explicit about its unique role versus similar tools like diagnose_project or suggest_fix.

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 suggest_fix or diagnose_project. The description lacks instructions on prerequisites, input expectations, or exclusions, leaving the agent without context for proper selection.

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