generate_multi_language_refactorings

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

SIGNIFICANT GAPS: No annotations exist, so the description must disclose behavior. It does not specify if the tool is read-only, destructive, requires permissions, or any side effects. The vague 'intelligent' term adds no clarity.

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?

ADEQUATE: The description is a single, concise sentence with no wasted words, but it lacks structure and could include more informative details without becoming verbose.

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?

INCOMPLETE: Given the complexity of multi-language refactoring, the description does not explain the output format, expected behavior, or prerequisites. No output schema exists, so agents lack essential context.

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?

BASELINE WITH NO ADDED VALUE: Schema description coverage is 100% (all parameters documented). The description adds no extra meaning beyond the schema, so baseline 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?

CLEARLY: The description states 'Generate intelligent refactoring suggestions for multi-language codebases', specifying a verb (generate) and resource (refactoring suggestions for multi-language codebases). It distinguishes from sibling tools like 'analyze_architecture' and 'suggest_fixes', but lacks explicit 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?

NO GUIDANCE: The description provides no information on when to use this tool versus alternatives, such as whether analysis should precede generation or what problem it solves.

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