analyze_project

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only says 'analyze' implying a read-only operation, but does not state whether it executes code, whether it requires network access, what output format is returned, or if any side effects occur. For a tool that ostensibly scans a codebase, this is a significant gap.

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, tight sentence that leads with the verb and scope, and enumerates the analysis dimensions. It contains no filler or redundancy, earning a high score for efficiency. A slight deduction because it is almost too terse, omitting useful details that would not hurt conciseness.

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 presence of five specialized sibling tools, the description should clarify the relationship (e.g., that this is an aggregate analysis and that more focused tools exist). It also does not mention what the output contains, how long it might take, or any prerequisites. The one-parameter input is simple, but the tool's purpose is broad, so the description is under-specified for an agent to confidently call it.

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 coverage is 100%: the single parameter, projectPath, already has a clear description ('Absolute or relative path to the Node.js project to analyze'). The tool description adds no further meaning about the parameter beyond what the schema provides, so the 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 states a specific verb ('Analyze') and resource ('Node.js backend project'), with a clear scope: performance issues across database, async, pooling, and dependencies. This distinguishes it from the specialized sibling tools, which each target a single concern. The purpose is unambiguous and immediately actionable.

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 this is the broad, comprehensive analysis tool compared to siblings like analyze_database_queries or analyze_async_patterns, but it does not explicitly state when to use this versus those alternatives, nor does it provide any 'when not to use' guidance. The usage context is inferred from the scope listed rather than stated.

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