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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds useful context beyond those: it is free, requires no key, and returns illustrative sample entries rather than a live feed. This is meaningful behavioral context, though it does not describe output shape or rate limits.

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 core behavior is front-loaded in one dense, information-rich first sentence, followed by two brief clarifying statements. There is no filler or redundant wording.

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 zero-parameter, read-only sample tool, the description provides enough context: what the entries contain, which providers are covered, that it is illustrative, and that it is free with no key. It gives a hint of return content ('what actually broke and what to check'), but exact response fields are not specified.

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?

The tool has zero parameters, and schema description coverage is 100%, so the baseline for this dimension is 4. The description does not need to explain parameters and introduces none.

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 ('Get') and a concrete resource ('real, dated example entries of the kind of LLM-provider breaking change APIDrift catches'), enumerating providers and change types. The description also distinguishes itself from the paid product by noting it is sample data, not a live feed.

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?

Clearly identifies what the tool returns and contrasts it with the paid subscription (weekly digest plus urgent alerts), letting an agent know when sample entries are appropriate. It does not explicitly name an alternative sibling such as get_apidrift_info, so exclusion guidance is implied rather than explicit.

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