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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description avoids contradicting these. It adds behavioral scope beyond the annotations by stating that 75+ numbers are returned, which categories are included, and that a type filter exists, giving the agent a strong sense of what this read operation will produce.

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 description is dense but focused: first sentence states the operation, second sentence enumerates the dataset scope, and the final sentence gives expected use cases so an agent can route to it. Every sentence contributes information, and the important scoping appears first rather than buried at the end.

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 5-parameter read-only list tool with no output schema, the description gives enough domain and response context to select the tool and understand what it covers. It could be improved by cycling out the default pagination behavior (limit defaults to 20 while the description says complete database), but the schema covers pagination and the description covers the catalog scope well.

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 of the 5 parameters is already 100%, so the description does not need to rename each parameter to define it. The text adds only the useful hint that type filtering is supported, while the schema itself already documents lang, limit, offset, compact, and each type enum value with examples and trade-offs. Baseline 3.

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 states a specific action and resource: retrieve the complete angel numbers database. It goes beyond the tool name by enumerating exact coverage categories (root digits, master numbers, repeating, mirror, sequential, etc.), which clearly distinguishes this bulk-list endpoint from sibling tools like get_angel_numbers_lookup or get_angel_numbers_number.

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 clear guidance on when this tool is appropriate: building explorer apps, reference guides, or spiritual databases, and it mentions optional type filtering for narrowing results. It does not explicitly name the sibling endpoints and say 'do not use this for single-number lookups,' so it earns a 4 rather than a 5.

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