run_niche_analysis

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

Given the annotations (readOnlyHint=false), the description adds meaningful behavioral context: it notes that cache hits avoid quota consumption and fresh analyses take minutes. It implies result persistence but does not fully clarify whether repeated calls create or update records. This goes beyond the bare annotation, providing useful operational details.

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 but information-dense, using a clear colon-separated structure to enumerate actions, outputs, and caching behavior. No redundant phrasing; each sentence contributes to the overall understanding.

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?

Since there is no output schema, the description compensates by outlining the return content (clusters, keywords, scores, intent, app suggestion). It also covers caching and quota implications. It does not address error cases or rate limits, but provides sufficient context for typical usage.

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 parameters (topic, store, country, lang) are fully described in the input schema with examples. The tool description does not add additional semantic nuance beyond what the schema already provides, so it meets the baseline without enhancement.

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 'runs a niche analysis' and details its core functions (discovering keywords, clustering, scoring). It clearly differentiates from sibling tools like list_niche_analyses or top_charts by focusing on the analysis execution rather than listing pre-existing 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?

The description provides practical usage context by mentioning caching behavior and quota consumption, which helps the agent decide when to invoke it (e.g., for fresh analysis vs. cached results). It does not explicitly name alternative tools, but the distinction is inferable from sibling names, and the caching details are valuable guidance.

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