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

Annotations already mark the tool as readOnly, idempotent, and non-destructive, so the description does not need to repeat safety. It adds behavioral context beyond annotations: results are ordered by verification date, are topic-independent, and serve as a freshness signal. It does not contradict any annotation and clarifies ranking semantics.

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 two sentences with zero filler. The first sentence states what the tool returns and labels the freshness signal; the second provides use cases and alternative routing. This is front-loaded and economical.

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 one-parameter, read-only tool with an output schema and full param documentation, the description covers purpose, usage, and differentiation. The only implicit context, 'Hispanic Legacy' from the title, does not weaken an agent's ability to invoke the tool correctly.

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%, with the limit parameter fully explained in the input schema ('How many recently verified objects to return, newest verification first'). The description adds no extra parameter detail, but none is needed; per the rubric, high schema coverage sets a baseline of 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 opens with 'Most recently verified knowledge objects' and explicitly states it ranks by verification date, naming the resource (verified objects) and the operation (return most recent). It distinguishes itself from search and get_topic by noting it ignores topic relevance, making its scope unambiguous relative to siblings.

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?

The description gives explicit use cases: 'judge how current the corpus is' and 'see what changed since you last read it.' It also provides a clear exclusion rule: 'ignores your topic entirely — use search or get_topic when you want objects that are relevant rather than recent,' so an agent knows exactly when not to select this tool.

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