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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds the twelve-dimension scope and the fact that gaps are ranked by likely harm, but says nothing about output format, depth or cost despite there being no output schema.

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?

It is front-loaded with the verb and stays to two sentences. The twelve-item dimension list is long but earns its place by defining scope, though the first sentence runs on without punctuation breaks.

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?

With no output schema, the description carries the burden of describing the return, and it does so at a high level ('generates the state space... and lists the gaps most likely to cause real harm'). An agent knows what it will get and when to call it, though output granularity remains unspecified.

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% and both parameters are documented in the schema, including known_dimensions' skip behavior. The description adds no format, syntax or constraint detail beyond what the schema already 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+resource ('Generates the state space for a feature, form or screen') and enumerates the exact dimensions covered, which makes its output shape concrete. It does not, however, differentiate itself from the closest sibling, find_assumptions, leaving the agent to infer the boundary between the two.

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?

'Call it when a feature is described and you want to know what nobody drew' gives a clear trigger condition an agent can act on. There are no stated exclusions or named alternatives, so the agent gets a positive cue but no routing guidance against the five siblings.

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