explain_expo_concept

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'using Gemini AI' but does not explain what the response contains beyond 'detailed explanations,' nor does it address potential latency, need for external API calls, or any limitations. The behavior is under-specified.

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 a single sentence, which is concise, but it relies on the vague phrase 'detailed explanations' and adds little substantive value. It is not overly long, yet it could be more informative without sacrificing brevity.

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's low complexity and full schema coverage, the description is minimally adequate but not complete. It lacks guidance on when to use the tool, what output format to expect, and how the 'audience' parameter affects the explanation—gaps that matter more because no output schema or annotations exist.

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?

The schema already provides descriptions for both parameters (concept and audience), with 100% coverage, so the baseline is 3. The description adds no additional parameter semantics beyond what the schema offers, and it does not elaborate on how 'concept' or 'audience' interact with the explanation's detail level.

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 function: 'Get detailed explanations of Expo concepts using Gemini AI.' This uses a specific verb ('Get detailed explanations') and identifies the resource (Expo concepts), distinguishing it from sibling tools like search_expo_docs and get_expo_examples, though the added 'using Gemini AI' is implementation detail rather than core purpose.

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 is provided on when to use this tool versus alternatives like search_expo_docs or get_expo_examples. The description implies use for explanations but lacks explicit when/when-not scenarios or mention of sibling tools, leaving the agent to infer the appropriate context.

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