google_trends_autocomplete

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

No annotations provided, so description carries full burden. It describes the output structure (JSON with suggestions array) and explains the Freebase-style mid usable in google_trends. However, it lacks details on rate limits, authentication, or error handling.

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?

Description includes useful output info and credit note, but the credit statement is extraneous for tool invocation. Could be more concise without losing essential guidance.

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 2 params, 100% schema coverage, no output schema, and no annotations, the description is reasonably complete. It explains output structure and the use of mid, satisfying basic needs for a lightweight autocomplete tool.

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%. Description does not add meaning beyond the schema; it mentions query and language but provides no additional constraints, examples, or formatting details.

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?

Description clearly states it returns Google Trends autocomplete suggestions for a search query, including topics/entities with categorization and a Trends link. Distinguishes from siblings like google_trends and google_autocomplete by focusing on autocomplete for Trends data.

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 explicit guidance on when to use this tool vs alternatives. Mentions the mid can be used in google_trends endpoint, implying it is a precursor, but does not specify when to choose this over google_autocomplete or other similar tools.

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