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

With no annotations provided, the description carries full responsibility for disclosing behavioral traits. It does add useful details: sponsored products are labelled and only shown when relevant, and the expected runtime is ~15 seconds. Yet it does not clarify whether the tool performs any side effects (e.g., placing orders, writing data) or if it is purely read-only/generative, leaving some uncertainty.

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 two sentences plus a runtime note. It front-loads the core purpose and then lists concrete deliverables. Each phrase adds value, though the list of outputs could be slightly more compact. Overall, it is well-structured 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?

The tool is moderately complex with several mentioned outputs, and the description covers the key deliverables and a behavioral quirk. However, it omits critical how-to details about the query parameter and does not specify any limitations or error scenarios. The presence of an output schema helps, but the description alone is not fully complete for a tool with a single ambiguous 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 description coverage is 0%, so the description must compensate for the single 'query' parameter. The description mentions the types of information (fridge, guests, cuisine, time, budget) but never maps them to the query string format, nor does it explain how the query should be structured. This leaves the agent guessing about how to populate the payload.

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 ('creates') and a clear resource ('a complete home restaurant experience'), then enumerates concrete deliverables: menus, missing ingredients, shopping handoff, guest table passport, and friend message. This is richly detailed and clearly distinguishes the tool from sibling agents like financial_agent or researchagent.

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 implies when to use the tool by naming the inputs (fridge contents, guest count, cuisine, time, budget) and the outputs, making its purpose clear. However, it provides no explicit guidance on when NOT to use it or which sibling tools serve as alternatives. No exclusions or comparison to other agents are given.

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