shopify_discount_analysis

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

No annotations provided, so the description must fully disclose behavior. It only states outputs but does not mention read-only nature, sorting logic, or any constraints beyond the date range. The tool likely aggregates data but this is not confirmed.

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 extremely concise (12 words) and front-loaded with the key outputs. However, it lacks structure like bullet points or sections. For such a short text, this is acceptable but not optimal.

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 has 4 parameters, no output schema, and many siblings, the description omits critical details like return format, sorting of top codes, and what 'discount totals' specifically means (e.g., count vs amount). The agent may need to experiment to understand usage.

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%, meaning the description does not explain any parameter. It only implies dateFrom/dateTo are for the range, but schema already shows date-time type. The 'query' and 'limit' parameters are entirely unexplained, leaving the agent to guess their 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 clearly states the tool provides discount totals, discounted order rate, and top discount codes, specifying the output. It distinguishes from sibling tools which focus on other aspects like sales or customers. However, it lacks a verb-+resource structure, reducing clarity slightly.

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?

No guidance on when to use this tool vs alternatives like shopify_sales_overview. Implicitly it's for discount analysis with dates, but no exclusions or prerequisite conditions are given.

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