get_loan_rate_data

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('fetches'), implies a read-only operation, and specifies the return format ('Markdown table' or 'error message'), which is helpful. However, it lacks details on rate limits, authentication needs, error conditions beyond generic messages, or data freshness, which are important for a data-fetching tool.

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 well-structured and concise, with a clear purpose statement followed by formatted sections for arguments and returns. Every sentence adds value without redundancy, making it easy to parse and understand quickly.

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 (2 optional parameters, no annotations, but with an output schema), the description is reasonably complete. It covers the purpose, parameters, and return format. However, it could improve by addressing usage context relative to siblings or providing more behavioral details like data sources or update frequency.

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 description adds meaningful semantics beyond the input schema, which has 0% description coverage. It explains that parameters are optional date ranges in 'YYYY-MM-DD' format, clarifying their purpose and format. Since there are only 2 parameters and the schema lacks descriptions, this compensation is effective, though it doesn't detail default behaviors when dates are omitted.

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 the tool's purpose with a specific verb ('fetches') and resource ('benchmark loan rates'), and it specifies the scope ('within a date range'). However, it doesn't explicitly differentiate from sibling tools like 'get_deposit_rate_data' or 'get_shibor_data', which appear to fetch similar financial data but for different metrics.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools, prerequisites, or specific contexts for application, leaving the agent to infer usage based on the tool name alone.

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