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get_content_analytics_topics

Analyze content performance by article topics to identify which subjects drive the most traffic and engagement.

Instructions

Analyze performance by article topics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
counter_idYesCounter ID
date_fromNoStart date YYYY-MM-DD
date_toNoEnd date YYYY-MM-DD

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are present, so the description must handle behavioral disclosure. It fails to state that this is a read-only operation, does not mention any rate limits, required permissions, or limits (e.g., date range constraints). The behavior is implied but not explicitly trustworthy.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence that is appropriately concise. Every word adds value, and there is no fluff or redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of many sibling tools and no annotations or output schema details provided, the description lacks enough context to fully guide an agent. It does not explain the return structure, pagination, or how the analysis is scoped. The output schema is available but not described.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All three parameters (counter_id, date_from, date_to) have descriptions in the schema, achieving 100% coverage. The tool description adds no additional meaning beyond what the schema provides, so a baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the resource (article topics) and action (analyze performance), distinguishing it from siblings like get_content_analytics_articles or get_content_analytics_authors. However, the verb 'analyze' is somewhat generic and could be more specific (e.g., 'retrieve' or 'get').

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 such as get_content_analytics_articles or get_content_analytics_categories. There is no mention of prerequisites, context, or exclusions.

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

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