get_loan_rate_data

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

No annotations are provided, so the description must fully disclose behavioral traits. It only states 'Benchmark loan rates.', offering no information on whether this is a read-only operation, potential rate limits, authentication needs, data freshness, or what the output entails (e.g., raw data, formatted report). This leaves critical behavioral aspects unspecified.

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 extremely concise with just two words, which could be seen as efficient. However, it is under-specified rather than appropriately sized, failing to convey necessary information. It is front-loaded but lacks substance, making it minimally adequate in structure but not helpful.

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 complexity (4 parameters, 0% schema coverage, no annotations, no output schema), the description is severely incomplete. It does not address purpose, usage, behavior, or parameters adequately, leaving the agent with insufficient context to effectively select or invoke the tool.

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 0%, meaning parameters (start_date, end_date, limit, format) are undocumented in the schema. The description does not compensate by explaining any parameters, their purposes, formats (e.g., date strings like 'YYYY-MM-DD'), or defaults. This results in poor parameter semantics support.

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 'Benchmark loan rates.' is tautological, essentially restating the tool name 'get_loan_rate_data' without specifying what action is performed (e.g., retrieve, calculate, compare). It lacks a clear verb and does not distinguish this tool from its many siblings that also fetch financial data, such as 'get_deposit_rate_data' or 'get_ividend_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?

No guidance is provided on when to use this tool versus alternatives. With numerous sibling tools for financial data retrieval (e.g., 'get_deposit_rate_data', 'get_balance_data'), the description fails to indicate specific contexts, prerequisites, or exclusions for selecting this tool over others.

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