generate_grocery_list

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

With no annotations provided, the description must fully disclose behavioral traits. It only states that the tool generates a list and returns a path, but does not mention whether it is destructive (e.g., overwrites existing lists), requires authentication, or how it handles invalid date ranges or empty meal plans. This lack of detail is a significant gap for a non-trivial operation.

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 structured as a docstring with clear sections (Args, Returns). It is front-loaded with the purpose, and the parameter explanation is concise. The Returns section is slightly redundant given no output schema, but it adds value. The overall length is appropriate and not verbose.

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 complexity (nested parameter, no output schema, sibling tools implying a meal planning domain), the description is partially complete. It explains the return value as a dictionary with a path, which is adequate, but it does not describe the format of the generated grocery list, error behavior, or side effects. This leaves gaps for an agent to fully understand the tool's output and behavior.

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 0% (the schema only defines date_range as an object with additionalProperties: true), so the description carries the burden. It adds meaningful semantics by specifying that date_range must contain 'start' and 'end' keys in YYYY-MM-DD format, and that start is required. This goes beyond the schema and is helpful for correct invocation.

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: 'Generate a grocery list for a specified date range.' It uses a specific verb ('generate') and resource ('grocery list') with a clear scope ('date range'). This effectively distinguishes it from sibling tools like add_ignored_ingredient or store_dish, which perform different actions.

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 does not mention prerequisites, such as needing an existing meal plan, nor does it exclude cases where the date range overlaps with other tools like export_mealplans_to_pdf. The agent is left to infer usage context from the tool name alone.

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