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 context about the listed artifacts (brand-token styling, bracket placeholders, waitlist collection provisioning), but says nothing about this tool's own behavior: no return shape, no ordering, no note on how workspace scoping affects the result.

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 purpose is front-loaded, but the body sprawls into tangential operational detail about waitlist collections, the data SDK, apply_data_template, and blog rendering that belongs to other tools. Sentences are long, multi-clause, and repeatedly change subject, so the agent must sift the listing tool's job out of unrelated prose.

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 should describe returns; it enumerates the recipe names, which partially compensates. But it omits structure, ordering, and whether workspace_id filters the result, and it spends most of its length on behavior that applies to downstream tools rather than to this listing call.

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% for the single workspace_id parameter, so the schema already carries its meaning and the baseline is 3. The description never mentions workspace_id, though it does differentiate recipe sets by workspace type, which indirectly signals why the parameter matters.

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 opening sentence states a specific verb and resource: 'List the ready-made documents and parts to build from,' and the body names the sibling get_page_recipe for fetching a single recipe. It is clearly distinguishable from get_page_recipe and list_data_recipes, though the wall of downstream detail buries the core purpose and never states what the list actually contains (names, ids, categories).

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 gives explicit ordering and next steps: 'Read get_design_guide first' and 'Fetch one with get_page_recipe and edit its copy.' It also scopes which recipes apply to which workspace (report/presentation/dashboard vs. the website workspace). It stops short of any when-not guidance or exclusions.

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