get_financial_data

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

No annotations are provided, so the description carries the full burden. It indicates a read operation but does not disclose return format, pagination, permissions, or error handling. This is a significant gap for a tool lacking structured behavioral metadata.

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?

A single, front-loaded sentence with no extraneous words. The core purpose and scope are stated immediately, making it quick to parse.

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?

With no output schema, the description should clarify what 'financial data' returns (e.g., list of registrations with billable flags, aggregates). It does not, leaving the agent unsure of the response structure or how to interpret results.

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% and both startDate/endDate are documented with format hints. The description adds no extra parameter meaning beyond 'date range', so it meets the baseline for full schema coverage but does not elevate 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?

The description states a specific verb ('Get'), resource ('financial data'), and scope ('time registrations in a date range'). It clearly differentiates from siblings like get_registrations_by_date_range by focusing on billable/invoice status rather than raw registrations.

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 implies usage when financial data for time registrations is needed, but it does not explicitly compare to alternatives or provide when-not conditions. Context is clear from the purpose but exclusions and alternative tool selection are absent.

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