Google Trends Remote MCP Server

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

With no annotations provided, the description carries the full burden of explaining behavior. It implies a read-only data retrieval operation through words like 'Pulls' and 'Returns', and mentions no destructive side effects. However, it does not explicitly state that the operation is read-only, nor does it mention authentication, rate limits, or potential errors, leaving some behavioral aspects implicit.

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 concise and front-loaded with the core purpose, followed by a compact summary of parameters and use cases. It avoids redundancy and stays focused, though the final list of use cases adds length without critical operational detail. Overall it is well-structured and not overly verbose.

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?

Without an output schema, the description gives a reasonable overview of expected outputs (interest-over-time series, geo-level breakdowns, related topics/queries with relative scores). It also covers parameter capabilities and domain use cases. It does not describe response formats, pagination, or error conditions, but given the tool's complexity and lack of output schema, the description is fairly complete.

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?

All eight parameters have detailed descriptions, covering defaults, allowed values, and format examples. The q parameter is described as a singular 'search term' while the main description says 'one or more queries', leaving ambiguity about how to pass multiple terms. Most other parameters are very well explained, but this minor gap prevents a perfect score.

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 retrieves Google Trends data, enumerates the key parameters (geo, region, date, category, time zone, property, dataType), and distinguishes it from sibling tools by focusing specifically on Trends. The verb 'Pulls' and the listed outputs make the tool's purpose 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 provides explicit use cases such as keyword/content strategy, demand forecasting, seasonality analysis, and topic discovery, which strongly signal when an agent should select this tool. It does not explicitly mention when not to use it or point to alternatives, but given there is no other Google Trends sibling tool, the guidance is sufficient.

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