Implement Code

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

Annotations already signal readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds a useful behavioral cue with 'Always review the returned code before accepting it,' implying output may need validation. It does not richly describe side effects, output handling, or failure modes, but given the annotations, a mid score is appropriate.

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 compact: a one-sentence purpose, a one-sentence usage condition, a one-sentence advice line, and a one-sentence warning. The structure front-loads the core action and keeps every sentence functional. It could be slightly tighter but is well-organized and not padded.

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?

With a full input schema, output schema, and annotations covering safety, thedescription covers purpose, usage context, best-practice input guidance, and an important review warning. It does not mention pagination, side effects, or error cases, but those are less relevant for a code-generation tool and are partially covered by the output schema. The description is complete enough for correct invocation.

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 100%, so the input schema already documents all six parameters including context, constraints, task_description, language, temperature, and max_tokens. The description reinforces that context and constraints should be provided, but adds no new parameter-level meaning beyond the schema, so it earns the baseline score.

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?

States a specific verb ('Generate') and resource ('implementation code from a specification'), then enumerates concrete artifact types (function,class,module,API endpoint, CRUD logic, glue code), making it obvious what the tool does and how it differs from siblings like generate_tests, refactor_code, and fix_code. The purpose is precise and immediately actionable for an agent.

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 explicitly says 'Use this tool when you need the local model to write a function, class...', giving clear usage context. It advises providing context and constraints for best results. However, it does not state when not to use it or name alternative siblings explicitly, so it stops short of a fully explicit routing rule.

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