list_recent_datasets

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

The description goes beyond the readOnlyHint annotation by specifying that the tool returns hydrated metadata, not raw activities. This gives the agent a clear idea of what the output contains, which is valuable given no output schema.

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 concise with three short sentences, each adding distinct value: purpose, use case, and behavior. No fluff or repetition.

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?

Given the simplicity of the tool (one optional param, no output schema), the description adequately covers its behavior and return type. It could potentially mention ordering or that it returns metadata, but it already does so minimally. Slight deduction for not confirming the output is a list of datasets.

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 schema coverage is 100% with the single 'limit' parameter fully documented in the schema (min, max, default). The description adds no additional information about the parameter, so it meets the baseline but does not exceed it.

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?

Description clearly states it lists the most recently modified datasets from datos.gob.do. It uses specific verb 'list' and resource 'datasets', and implies a temporal scope. It distinguishes from sibling tools like search_datasets or get_dataset which serve different purposes.

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 explicitly states it is useful for monitoring updates to the government portal, giving a clear use case. However, it does not provide explicit when-not-to-use guidance or mention specific alternatives, though the context of sibling tools fills some of this gap.

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