Credit Optimizer v5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool returns 'The 10 audited golden rules with explanations,' which implies a read-only operation, but doesn't clarify if it's cached, real-time, requires authentication, has rate limits, or other behavioral traits. For a tool with no annotations, this leaves significant gaps in understanding how it behaves.

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 concise and front-loaded, with two sentences that directly state the purpose and return value. There's no wasted text, and it efficiently communicates the core information. However, it could be slightly more structured by explicitly separating purpose from returns, but this is minor.

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 simplicity (0 parameters, no annotations, but with an output schema), the description is minimally adequate. It states what the tool does and what it returns, which aligns with the output schema handling return values. However, for a tool with no annotations, it lacks behavioral context like safety or performance traits, making it incomplete for full agent understanding.

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 tool has 0 parameters, and schema description coverage is 100%, so there are no parameters to document. The description doesn't need to add parameter semantics, and it appropriately avoids discussing any. A baseline of 4 is applied for zero-parameter tools, as there's no risk of missing parameter information.

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: 'Get the 10 Golden Rules for credit optimization with ZERO quality loss.' It specifies the verb ('Get') and resource ('10 Golden Rules'), and adds a qualifier ('with ZERO quality loss') that distinguishes it from generic rule-fetching tools. However, it doesn't explicitly differentiate from sibling tools like 'analyze_prompt' or 'get_strategy_for_task', which prevents a perfect score.

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 or contexts where this tool is preferred, such as for credit optimization scenarios versus other tasks. The lack of usage context leaves the agent to infer when this tool is appropriate based on the purpose alone.

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