llm_savings

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

No annotations are provided, so the description carries full burden. It only says it displays a dashboard and returns a formatted table, but does not disclose behavioral traits like whether it is read-only, if it makes any external calls, or any rate limits. The description lacks depth on behavior.

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 well-structured. It front-loads the main purpose, provides details in the second line, and ends with a clear returns statement. Every sentence adds value with no redundancy.

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 zero parameters and an existing output schema, the description is fairly complete. It explains what the dashboard shows and returns. However, it could mention that the operation is read-only or if any authentication is needed, but that is not critical for a simple dashboard 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?

The input schema has zero parameters, so schema coverage is 100%. According to guidelines, 0 params warrants a baseline of 4. The description adds context by naming the time buckets and output, but since there are no parameters, no additional parameter semantics are needed.

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 shows a time-bucketed savings dashboard with specific periods (today, this week, this month, all-time). The verb 'Show' and resource 'savings dashboard' are specific, and it distinguishes from siblings like llm_dashboard or llm_budget by focusing on savings and efficiency multiplier.

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 explicitly states 'Use this to understand the real dollar value routing provides,' giving clear context for when to use it. However, it does not mention when not to use it or provide alternatives among the many sibling tools, so it misses full guidance.

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