latest

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

With no annotations provided, the description discloses the key behavior: trims to the single latest period per measure across a filtered slice. However, it omits details like error handling, return format, or required permissions. The output schema exists but is not described here.

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 brief, front-loaded, and contains no filler. The example section adds practical context without redundancy. It earns its place with every sentence.

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 tool's moderate complexity and the presence of an output schema, the description is reasonably complete. It explains the core behavior and provides examples. It could be improved by noting edge cases (e.g., empty results) but is sufficient for typical use.

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 input schema has 100% description coverage, so the parameters are already documented. The description adds context about the 'per measure' and 'filtered slice' usage but does not significantly extend parameter meaning beyond the schema.

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 clearly states 'Return the most recent observation per measure for a dataset', identifies the specific verb, resource, and distinguishing behavior (trimming to latest period per measure). Examples reinforce the purpose and differentiate from siblings like get_data.

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 provides a use case ('what's CBA's current CET1?') and signals it avoids needing start_period. It does not explicitly compare to siblings or state when not to use, but the context of sibling names and the description itself imply appropriate scenarios.

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