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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds genuine value beyond that: it discloses the shape of the returned artifacts (multi-component, runnable files) and a quality guarantee ("Every recipe typechecks against the components"), which an agent cannot derive from annotations or 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?

Compact at two sentences, with the list-versus-fetch behavior front-loaded. The middle enumeration of example recipes is informative rather than wasteful, though the opening sentence is dense with component names.

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?

For a single optional-parameter read tool with no output schema, the description covers both invocation modes and the nature of the returned files. Only the return-shape specifics (e.g. file listing structure when listing) are left implicit, which is acceptable here.

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 the slug parameter's description already explains the fetch-versus-list behavior, so the schema carries the weight. The description restates the no-slug listing behavior without adding format or constraint detail (e.g. what an invalid slug returns), so the baseline 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 clearly identifies the resource (Layro recipes: complete, runnable files combining components) and enumerates concrete examples (AI chat app shell, dashboard app, billing page), so an agent knows exactly what comes back. However, it never states the verb or contrasts itself with near siblings like get_template or get_component_code, so differentiation is left to inference.

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?

It tells the agent the two modes of operation – pass a slug to fetch one recipe, omit it to list recipes – which is useful contextual usage. But there is no guidance on when to reach for a recipe versus get_template, get_component, or get_component_code, and no exclusions or prerequisites.

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