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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, establishing safety. The description adds behavioral detail beyond annotations: it specifies the output contains both the complete instruction text and the effective arguments (provided values plus defaults for omitted optionals). This is valuable context that helps an agent understand what to expect. No contradictions with annotations.

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 two sentences of high-density content without unnecessary verbosity. It front-loads the core action and output, then adds the crucial relationship to gvt_list_prompts and the follow-up instruction. The structure is clean and easy to parse.

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 tool is well-specified for its function: it names the inputs, the source of valid values, and what the output contains. It also hints at next steps ('call them as instructed'). However, it does not elaborate on potential edge cases (e.g., what happens if a referenced tool doesn't exist) or provide a return schema, which, while not required, could further improve completeness. Overall, it is sufficient for an agent to use correctly.

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 coverage is 100%, and both parameters are fully documented. The description explains that arguments are provided as key-value pairs and that optional ones can be omitted to use defaults. The schema even includes a concrete example for arguments. This leaves no ambiguity about how to construct the inputs.

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 clearly states the tool's purpose: 'Render a GVT prompt workflow with concrete argument values, returning the complete step-by-step instruction text ready to follow.' It uses a specific verb (render) and names the resource (prompt workflow). It also differentiates from siblings by referencing gvt_list_prompts as the source of prompt names and arguments, making it distinct from listing or executing tools.

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 implicitly provides usage context: it says prompt names and arguments come from gvt_list_prompts, indicating a sequence (first list, then render). It also notes that the rendered text references GVT tools by name and instructs to 'call them as instructed', which clarifies you should subsequently invoke those tools. However, it does not explicitly state when NOT to use this tool or contrast it with other siblings beyond the source relationship, so it falls short of full explicitness.

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