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

With no annotations provided, the description carries the full transparency burden. It does exceptionally well: it discloses the auth requirement, the first-call partial preview, the connect code and auth URL, the user action required, the post-connection behavior, and the persistence to the user's DayPlay account. It even warns against fabricating stops for out-of-market locations. No contradiction exists.

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 front-loaded with purpose and constraints, then organizes the auth and refusal protocols into tight, scannable sections. Every sentence adds necessary behavioral or workflow context, and none of it is filler.

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?

For a stateful tool with no annotations and no output schema, this definition is unusually complete. It explains what happens on first use, what the agent must relay to the user, what happens after connection, and the geographic boundary. An agent has enough context to invoke the tool correctly and set user expectations.

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 100%, so the baseline is 3. The description reinforces the roles of date, vibe, budget, and neighborhood, and adds the crucial constraint that neighborhood must be an exact SF Bay Area name. However, it does not add meaningful detail about the 'interests' parameter or extend much beyond the schema's own property descriptions.

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 opens with a specific verb and resource: 'Build a complete multi-stop outing itinerary.' It clarifies scope (SF Bay Area, only SF/Oakland/Berkeley), gives concrete examples, and is clearly differentiated from siblings like get_events and get_places by focusing on itinerary construction. This is unambiguous.

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 makes the appropriate use case clear: building multi-stop outings matched to vibe, budget, and date, while explicitly refusing out-of-market locations. It also conveys a strong prerequisite (free DayPlay account) and the first-call flow. It does not explicitly name sibling alternatives like get_places for single-place lookups, so it falls short of a 5.

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