analyze_connection_pooling

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states only the detection action but does not mention side effects, read-only nature, performance implications, or output format. The lack of behavioral detail is a significant gap for an analysis tool.

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, focused sentence that conveys the core purpose immediately. No unnecessary wording or redundancy, making it highly concise 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?

For a tool with a single parameter and no output schema, the description is adequate but incomplete. It does not mention expected output, return format, or how results are presented, nor does it provide guidance on alternatives. An agent might need additional context to use it effectively.

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 already fully describes the single parameter 'projectPath' with 100% description coverage. The tool description adds no extra meaning or context for the parameter, so baseline score of 3 is appropriate.

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 verb 'detect' and specific resource 'database client or pool creation' within defined contexts ('request handlers, loops, or other hot paths'). It distinguishes itself from siblings like analyze_database_queries by focusing on connection pooling patterns, though it does not explicitly reference siblings.

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 implies when to use the tool (when you want to detect connection pooling issues in hot paths) but provides no explicit guidance on when not to use it or mention of alternative tools. Usage is implied but not fully elaborated.

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