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get_content_analytics_categories

Retrieve overall statistics by content category from Yandex Metrika. Analyze category performance to optimize content strategy.

Instructions

Retrieve overall statistics by content category.

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 provided, so the description must carry the full burden. It only says 'Retrieve', which implies read-only, but lacks details about behavioral traits such as idempotency, rate limits, data freshness, or whether the operation is safe. The brevity leaves significant behavioral gaps.

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

Conciseness4/5

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

The description is a single, front-loaded sentence that immediately conveys the tool's purpose. It is concise without being overly terse, though the brevity comes at the cost of missing important details.

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?

With an output schema present, return values are documented, but the description lacks sufficient context about aggregation levels, what 'overall statistics' entails, and how it differs from sibling tools. This incompleteness hinders correct tool selection.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds no extra meaning beyond what the parameter descriptions already provide ('Counter ID', 'Start date YYYY-MM-DD', etc.), but it does not detract from them.

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 action ('Retrieve') and resource ('overall statistics by content category'). It is specific enough to indicate what data is returned, but it does not distinguish among similar sibling tools like get_content_analytics_articles or get_content_analytics_topics.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention any context, prerequisites, or comparisons to sibling tools, leaving the agent to infer usage from the name alone.

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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