Log Analyzer MCP

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

Annotations already indicate this is a read-only, non-destructive, idempotent operation with a closed-world scope. The description adds valuable context by detailing the return content (e.g., confidence scores, alternative formats, unparseable lines), which helps the agent understand the tool's behavior beyond the annotations. No contradictions with annotations are present.

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 well-structured and appropriately sized. It starts with a clear purpose statement, followed by bullet points detailing returns and a parameter list. Each sentence adds value without redundancy, though the parameter explanations could be more integrated into the flow.

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 tool's moderate complexity (3 parameters, no nested objects) and the presence of an output schema, the description is fairly complete. It covers the purpose, return details, and parameters, though it lacks usage guidelines relative to siblings. The output schema likely handles return values, so the description doesn't need to explain them further.

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 0%, so the description must compensate. It lists all three parameters with brief explanations (e.g., 'Path to the log file to analyze'), adding meaning beyond the schema's titles. However, it lacks details like format constraints or usage examples, leaving some ambiguity for the agent.

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's purpose: 'Analyze a log file and suggest the best parsing approach.' It specifies the verb ('analyze' and 'suggest') and resource ('log file'), making it easy to understand. However, it doesn't explicitly differentiate from siblings like 'log_analyzer_parse' or 'log_analyzer_suggest_patterns', which might have overlapping functionality.

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 provides no guidance on when to use this tool versus alternatives. With multiple sibling tools like 'log_analyzer_parse' and 'log_analyzer_suggest_patterns', it's unclear if this is for preliminary analysis before parsing or a standalone suggestion tool. No exclusions or prerequisites are mentioned.

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