generate_multi_function_module

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

With no annotations, the description carries full behavioral burden. It usefully discloses the coder expert model, optional co-generated unit test suite, and mandatory English parameter translation, but omits permissions, side effects, determinism, and other operational traits.

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?

Front-loads the purpose, then states the conditional test-generation behavior, then the critical language requirement. Every sentence adds information and there is no redundant restatement.

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 10-parameter code-generation tool with no annotations, the description is incomplete. It does not explain key parameters, usage relative to siblings, or behavioral constraints beyond English translation and optional test generation, even though output-schema existence means return values need not be described.

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?

Top-level schema description coverage is 0% across 10 parameters, so the description must compensate. It only names or hints at task, module_purpose, context, functions, and generate_test_file, while language, test_cases, dependencies, shared_types, export_format, and most function-spec fields remain unexplained.

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 and resource: generate code for a multi-function module (Template 4) using a coder expert model. The phrase 'multi-function module' distinguishes it from generate_standard_function, though no sibling is named explicitly.

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?

Provides no guidance on when to choose this over generate_standard_function, generate_codebase_context, or generate_bugfix_refactor. The only conditional behavior mentioned is if generate_test_file is True, which is execution behavior rather than tool selection guidance.

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