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

No annotations are provided, so the description carries the full burden. It discloses that the overlaps are hand-verified (curated) and that savings are included, which gives insight into the output and scope. It does not mention read-only nature or error handling, but the core behavior is clearly conveyed.

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 a single, efficient sentence with no unnecessary words. It front-loads the action ('return') and the key details (104 hand-verified overlaps, savings), making it easy to parse 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?

The description explains the high-level output (redundant pairs and savings) but does not specify the exact structure of the return value. Since there is no output schema, this is a minor gap. It is complete enough for an agent to call the tool and interpret the result, given the low complexity of the input.

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 coverage is 100% (the only parameter 'tools' is described), so the baseline is 3. The description adds context that the tools are in a user's stack and that the output is redundant pairs with savings, but it does not add syntax or format details beyond what the schema already provides.

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 states a specific verb ('return'), a clear resource ('redundant pairs'), and adds unique details (104 hand-verified overlaps, monthly/annual savings). This clearly distinguishes it from siblings like scan_stack or suggest_swaps, which focus on broader stack analysis or recommendations.

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 gives clear context: use when you have a list of tool names and want to identify redundant pairs. However, it does not mention alternatives or when not to use this tool, so it lacks explicit exclusions or routing to sibling tools.

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