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

With no annotations provided, the description carries full behavioral burden and does so thoroughly: it discloses that roughly half of requests are declined, that the decision is advisory, that the tool is free and unauthenticated, and that posting collateral changes the tier outcome. This is rich, honest behavioral context.

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 front-loaded with the core purpose and then efficiently covers parameters, return values, decline behavior, cost/auth, and advisory nature. Every sentence adds information, and there is no filler 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?

For a tool with no annotations and 0% schema coverage, the description is highly complete: it explains the decision output, collateral behavior, decline rate, and settlement guidance. It is not fully complete because it never specifies what string value 'agent' should contain, which is a required parameter.

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%, so the description must compensate. It clearly explains principal as the requested loan size in USDC and tier1_value as optional collateral in USDC, including eligible collateral types. The only gap is that the required 'agent' parameter is not explicitly described beyond the tool's overall purpose.

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 opens with a specific verb and resource: 'Get a real underwriting decision on a loan to an AI agent.' It clarifies what the tool returns (approved, credit_limit_usdc, apr_pct, tier, reason) and distinguishes itself from sibling tools like get_agent_credit_score by focusing on a full underwriting decision.

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 clearly implies when to use the tool: when you need an underwriting decision on a loan to an AI agent. It also adds practical context such as being free, unauthenticated, and advisory. It does not explicitly name alternatives or exclusions, so it stops short of a 5.

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