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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds behavioral context beyond that — 'Deterministic and credential free' — which tells the agent the call is cheap, repeatable, and needs no auth setup.

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 when-to-use clause is correctly front-loaded, but the body is a single sprawling sentence enumerating nine output items, making it dense and hard to scan. The content is largely non-redundant, but the structure works against quick comprehension.

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?

There is no output schema, so the description carries the burden of explaining returns — which it does in detail, covering subtraction of existing capabilities, gaps, task split, and verification calls. Inputs are fully documented in the schema, so the definition is close to complete for an agent to call it 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%, so the baseline is 3. The description loosely maps to the parameters ('say what built it' → platform/framework, 'what the business needs' → intent, 'anything you found by inspecting the project' → has/findings), which adds some framing, but it never names or disambiguates any parameter and omits `framework` entirely.

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?

States a concrete transformation ('route an existing build to production') and enumerates what the return contains — shortest valid route, what the platform already handles, what's missing, capabilities/kits, task split, verification calls. The verb/resource pair is identifiable, though the purpose is delivered through a long value-prop sentence rather than a crisp statement.

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 says when to use it ('when your human already has a working application') and names the alternative with a discriminating condition: 'Call it before trustycap_guide when the human already built something, because this one subtracts what they already have and trustycap_guide does not.' It lacks an explicit when-not branch for greenfield, but the condition implies it.

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