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

With no annotations provided, the description carries full behavioral disclosure burden. It clearly explains the tool executes a search query with limit and optional related keywords, describes the response structure (search results and keywords), and implies read-only behavior by nature of search. However, it doesn't mention rate limits or auth requirements, but this is reasonable for a search API.

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 well-structured with sections and bullet points, but it is somewhat verbose. For example, the 'Key Features' section largely repeats information from the parameter and response descriptions. Some sentences like 'This endpoint is designed to streamline search operations...' could be condensed.

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 has three parameters, no required fields, full schema coverage, and an output schema, the description is largely complete. It explains the search functionality, parameter options, and response format. The only minor omission is a note that no parameters are required (all optional), but the schema already indicates this.

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 100%, but the description adds substantial semantic value by explaining each parameter in plain language (e.g., 'search term or keyword to query on Google') and providing concrete examples for each. This goes well beyond the schema's minimal descriptions (just 'Example value').

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 explicitly states the tool performs a Google search query and retrieves relevant results, with specific use cases like content aggregation and market research. The verb 'search' and resource 'Google' are clearly defined, and the description distinguishes itself from unknown siblings.

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 mentions ideal use cases (automated search, content aggregation, etc.) and lists functional features, but it does not explicitly state when not to use this tool or provide guidance on alternatives, which is a gap given no sibling tools are listed.

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