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get_social_media_analytics_aggregated

Retrieve aggregated analytics for one or multiple social media accounts over a specified date range.

Instructions

Get aggregated analytics for a social media account

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_toYesEnd date in format YYYY-MM-DD
date_fromYesStart date in format YYYY-MM-DD
account_idNoSocial media account ID. Takes priority over account_ids if both provided.
account_idsNoComma-separated list of social media account IDs (e.g. "123,456,789"). Used when account_id is not provided.
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. However, it only states the basic function without revealing traits like data recency, caching, authentication needs, or rate limits. The description is insufficient for an agent to understand behavioral implications.

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 sentence that directly states the purpose with no extraneous words. It is front-loaded and efficient, though extremely brief. It earns its place but could be slightly more structured.

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 there is no output schema and no annotations, the description is too minimal to fully inform an agent. It does not explain the structure or nature of the returned aggregated analytics, nor does it cover edge cases or limitations. More context is needed for this tool.

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?

The input schema has 100% description coverage for all parameters (date_from, date_to, account_id, account_ids). The description adds no additional meaning beyond what the schema already provides. Baseline 3 is appropriate since the schema is self-sufficient.

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

Purpose5/5

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

The description clearly states the verb 'get' and the resource 'aggregated analytics' for a social media account. It distinguishes from sibling tools like get_social_media_analytics_audience and get_social_media_analytics_posts by specifying 'aggregated' rather than audience or posts.

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 such as get_social_media_analytics_audience or get_social_media_analytics_posts. It does not mention prerequisites, exclusions, or context where this tool is appropriate.

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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