analyze_current_file

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

No annotations are provided, so the description carries full burden. It states the analysis scope but doesn't disclose behavioral traits such as whether it's read-only (likely, but not confirmed), what happens if the file doesn't exist, if there are rate limits, or what the output format is. The description adds minimal context beyond the basic action, leaving key operational details unspecified.

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, efficient sentence that front-loads the core action ('analyze the current file') and specifies key aspects without waste. Every word contributes to understanding the tool's purpose, making it appropriately sized and well-structured for quick comprehension.

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 1 parameter with no schema descriptions and an output schema present, the description is minimally adequate. It covers the analysis scope but lacks details on behavioral traits (e.g., error handling) and parameter usage. The output schema mitigates the need to explain return values, but for a tool with no annotations and incomplete parameter documentation, more context would improve completeness.

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 input schema has 1 parameter with 0% description coverage, so the description must compensate. It mentions 'current file' but doesn't explain the 'path' parameter's semantics (e.g., relative vs. absolute path, file type expectations). The description adds some meaning by implying file analysis, but it doesn't fully clarify parameter usage, resulting in a baseline score due to incomplete compensation.

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 'analyze' and the resource 'current file', specifying what aspects are analyzed: imports, class structure, and controller methods. It distinguishes from siblings like 'analyze_ui5_performance' or 'analyze_legacy_project_baseline' by focusing on file-level structural analysis rather than performance or project-wide analysis. However, it doesn't explicitly contrast with 'read_project_file' or 'validate_ui5_code', which slightly limits differentiation.

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. It doesn't mention prerequisites (e.g., file must exist), exclusions (e.g., not for non-code files), or comparisons to siblings like 'read_project_file' (for raw content) or 'validate_ui5_code' (for validation). Usage is implied from the name and description but not explicitly stated.

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