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

With no annotations, the description must carry behavioral disclosure on its own. It does disclose the returned structure (tree with root, branches, cross-links), but it does not clarify whether this operation is read-only, whether it persists anything, or what the generated code skeleton actually looks like. This leaves some behavioral ambiguity for an agent.

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 short, purposeful sentences: what it generates, what it returns, and when to use it. It is front-loaded and contains no filler or repetition of schema details.

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 no output schema, the description provides a useful high-level return shape. It also communicates the bootstrap purpose and relies on the schema for parameter details. It could be more complete by stating the output format or how cross-links are enabled, but the core context needed to invoke the tool is present.

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 input schema fully documents depth, topic, and branches with defaults and constraints. The description adds no extra parameter meaning beyond mentioning branches in its structural explanation, which keeps it at the baseline 3.

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 begins with a specific verb and resource: 'Generate a ready-to-extend FlowZap Code skeleton for a Mind Map.' It further differentiates the tool by describing the output shape (central circle root, rectangle branches/sub-branches, optional cross-links), making it distinct from validation or approval sibling 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 explicitly says 'Use this to bootstrap a new mind map,' which gives a clear when-to-use directive. It does not explicitly name alternatives or state when not to use it, but the bootstrap framing is enough to route an agent away from validate/approve/artifact conversion tools.

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