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

Annotations already declare readOnly, idempotent, non-destructive, closed-world, so the safety profile is covered. The description adds genuinely non-structured context: that a maker is a generative entity that produces a new worksheet each time, and that the response contains both current values and defaults. It does not mention auth needs, rate limits, or failure modes for a bad slug.

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?

Two short sentences, front-loaded with the outcome (every setting, with values and default) and followed by the generative-behavior clarification. No redundant restatement of the name or title.

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-parameter, read-only lookup with full annotation coverage, the definition covers what the tool returns (settings plus defaults) and how it fits the workflow. Slightly more detail on the return shape or on invalid-slug behavior would make it airtight.

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 schema already explains the maker slug format (generators/<slug>) with an example. The description adds little parameter-level meaning beyond confirming the slug comes from search_resources, 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?

States a specific verb+resource: it returns every setting of one Animal Math worksheet maker, together with values and defaults. It also names the downstream consumer (build_maker_link) and disambiguates makers from worksheets ('a maker draws new worksheets every time'), so an agent can separate it from sibling resource 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?

It routes the agent to the right siblings: use search_resources (kind maker) to find a maker, and build_maker_link to consume these settings. The implicit when-to-use is clear – fetch settings before building a link – though there is no explicit exclusion or 'do not call if' guidance.

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