generate_code

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

No annotations are present, so the description carries the burden of behavioral disclosure. It usefully reveals the artifacts it generates, but it does not describe side effects, output format, return behavior, or whether the code is returned inline or persisted somewhere.

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?

Two focused sentences with no filler. The core action and input are front-loaded, and the second sentence enumerates deliverables without redundancy.

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?

The schema covers parameters well and the description specifies the kinds of output, but there is no output schema, no annotations, and no usage-selection guidance. An agent is left without clarity on how the generated code is returned or why this tool should be chosen over generate_documentation.

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 schema already documents all four parameters. The description adds context by mentioning the input source and generated outputs, but it does not clarify parameter meaning beyond what the schema provides, so the baseline of 3 applies.

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 names a specific verb and resource: 'Generates TypeScript or JavaScript code from a tracking specification or data layer.' It also lists concrete outputs (type definitions, helper functions, event tracking code), which clearly distinguishes it from siblings like validate_data_layer, debug_data_layer, and generate_documentation.

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?

There is no guidance about when to select this tool over the sibling tools. The description implies it should be used when generated code is needed, but it does not state conditions, prerequisites, alternatives, or when not to use it.

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