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

Annotations already declare idempotentHint=true, readOnlyHint=true, and destructiveHint=false, so no contradiction. The description adds value beyond annotations by disclosing that it errors on unknown names/arguments rather than guessing, and that it returns effective arguments with defaults applied. It also states the output includes step-by-step instruction text, which is not in annotations. Minor gap: no mention of output format beyond being text, but with an output schema present, that is acceptable.

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 three sentences: the first gives the core purpose and output, the second explains source and error behavior, and the third instructs how to use the output. It is tightly written with no filler, though it front-loads the purpose but leaves the error caveat until the second sentence. Slightly more wordy than ideal but efficient.

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?

Given two parameters with full schema coverage and an output schema present, the description is complete for invoking the tool. It covers argument binding default behavior and error handling. One minor gap: it doesn't explicitly say that the returned steps might require additional context from gvt_list_prompts, but that is strong enough. The output schema likely details the return structure, so this is sufficient.

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%: the name parameter description is clear and provides an example, and arguments is described with a key-value example. The description adds value by clarifying that omitted optional arguments use defaults and that it returns effective arguments, but this is about behavior rather than parameter format. The schema already explains both parameters well, so description doesn't add significant new meaning.

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 renders a GVT prompt workflow with concrete arguments and returns the instruction text plus bound arguments. It distinguishes itself from sibling tools like gvt_list_prompts by referencing it as the source of prompt names/arguments, and from other get_* tools by focusing on prompt rendering rather than retrieving data.

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?

Explicitly states when to use: when you need a rendered prompt workflow. It references sibling gvt_list_prompts for obtaining valid prompt names/argumentsages, and warns that unknown names/arguments cause errors, guiding the agent to check that list first. It also instructs to call the GVT tools referenced in the rendered text, avoiding misuse.

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