get_data_hotel_ask

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

Annotations already declare readOnly, idempotent, openWorld, non-destructive, so the safety profile is covered. The description adds genuinely new context (beta status subject to change, web-enhanced answers via allowWebSearch), but says nothing about answer reliability, latency, or failure modes for an AI-answer tool.

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 markdown-heavy structure is far longer than a 3-parameter read tool warrants, with heavy redundancy ('natural language' is asserted in the overview, what-you-get, and key-features sections). The core instruction is buried in the final 'Quick Start' section.

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?

With no output schema, the description carries the return-value burden and does so adequately (AI-generated natural-language answers grounded in hotel data), plus example questions clarify expected input. Coverage is good for a simple read-only tool, only lacking answer-quality caveats.

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 all three parameters are already documented, making 3 the baseline. The description only restates hotelId, the question, and allowWebSearch, and inconsistently refers to the question as `question` while the schema names it `query`, adding mild ambiguity rather than meaning.

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 overview states a specific verb and resource: ask natural-language questions about a specific hotel and receive AI-generated answers. This is clearly distinguishable from data-listing siblings like get_data_hotel or get_data_hotels, though no sibling is named explicitly.

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 'When to Use' section lists four scenarios (Q&A, information lookup, chat interfaces, detailed inquiries), which implies usage context. However, these are largely restatements of the same idea and there is no guidance on when to prefer this tool over get_data_hotel or get_data_hotel_search, and no exclusions.

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