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

Annotations already declare readOnly/idempotent/non-destructive, and the description layers on substantial extra behavior: the 3-result cap, the no-account link, the empty-or-loose result meaning only that no public scenario fits, and the scope guarantee 'Returns authored practice scenarios only, never other children's answers'. This is exactly the kind of context annotations cannot carry.

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?

Purpose is front-loaded in the first clause and every sentence carries information, but the middle sentence is a packed, comma-heavy list of return fields that could be tightened or deferred to the output schema. Dense rather than wasteful.

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 two-parameter read tool with a full schema, complete annotations, and an output schema, the description leaves no operational gap: results cap, match_quality semantics, privacy scope, and the public-sample caveat are all covered.

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%, so both parameters are already fully documented, including age ranking and the situation example. The description restates the age-ranking behavior and output fields but adds no new syntax or constraint detail beyond the schema, 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 and resource ('Finds up to 3 public Life Scenario practice scenarios') and pins down the exact input context ('a real-life situation a child is facing') with concrete examples. It is clearly distinguishable from siblings like get_what_to_say, which surfaces the guide rather than the practice scenarios.

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?

Gives a clear when-to-use context (an adult searching for a practice scenario matching a child's situation) and warns to 'check match_quality before sharing'. It stops short of naming when not to use it or explicitly directing the agent to a sibling tool for adjacent needs.

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