grpcgw_generate
Generate a gRPC-Gateway HTTP bridge for your project, enabling RESTful access to gRPC services.
Instructions
Generate gRPC-Gateway HTTP bridge
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No | ||
| directory | Yes | Project directory |
Generate a gRPC-Gateway HTTP bridge for your project, enabling RESTful access to gRPC services.
Generate gRPC-Gateway HTTP bridge
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No | ||
| directory | Yes | Project directory |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure, and it does not carry it. It does not disclose whether the tool modifies existing files, scaffolds a project, calls an external service (the presence of an api_key parameter hints that it might), or whether the operation is destructive or idempotent.
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, front-loaded sentence with zero wasted words. Every token earns its place; the verb, resource, and scope are stated immediately. It is short, but that is a function of under-specification rather than poor writing structure.
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 tool with no annotations, no output schema, two parameters (one undocumented), and two sibling tools in the same family, this description is clearly incomplete. It does not explain what the output looks like, why an api_key is required, what the directory must contain, or how this differs from grpcgw_add_swagger and grpcgw_optimize.
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 only 50%: the api_key parameter is completely undocumented in both the schema and the description, and its purpose (external auth? billing?) is mysterious. The description adds no meaning about what the directory should contain or how the api_key is used, so it does not compensate for the schema gap.
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 uses a specific verb ('Generate') and a clear resource ('gRPC-Gateway HTTP bridge') that states what the deliverable is. It is reasonably distinguishable from the sibling tools grpcgw_add_swagger and grpcgw_optimize via the 'HTTP bridge' phrasing, though it does not explicitly call out the 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?
There is no guidance on when to use this tool versus the closely related grpcgw_add_swagger or grpcgw_optimize siblings. It also fails to mention prerequisites such as whether the directory must contain existing .proto files or how the tool fits into a gRPC-Gateway setup workflow.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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