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analytics

Fetch post analytics and stats across multiple platforms to track performance and engagement metrics for published content.

Instructions

Fetch post analytics and stats across all configured platforms — FREE

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformNoSpecific platform to fetch analytics for, or omit for all configured platforms
limitNoMax posts to fetch per platform (default: 10)
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. It mentions 'FREE' which hints at no cost, but doesn't describe authentication needs, rate limits, data freshness, error handling, or what 'configured platforms' entails. For a data-fetching tool with zero annotation coverage, this leaves significant behavioral aspects unexplained.

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, efficient sentence that gets straight to the point without unnecessary words. It could be slightly improved by front-loading more critical information, but it's appropriately sized for its purpose.

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 no annotations and no output schema, the description is incomplete for this tool's complexity. It doesn't explain what 'analytics and stats' includes, the format of returned data, error conditions, or how 'configured platforms' are determined. For a tool that fetches analytics data, this leaves too many contextual gaps.

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 schema already fully documents both parameters (platform and limit). The description adds no additional parameter semantics beyond what's in the schema descriptions. The baseline score of 3 is appropriate when the schema does all the parameter documentation work.

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 tool's purpose with a specific verb ('fetch') and resource ('post analytics and stats'), and it specifies the scope ('across all configured platforms'). However, it doesn't explicitly differentiate this tool from potential sibling analytics tools (none are listed in the sibling tools, but the description doesn't mention this uniqueness).

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 mentions 'FREE' which might imply a cost consideration, but doesn't specify any context, prerequisites, or exclusions. There's no mention of when this tool is appropriate compared to other tools in the list.

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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