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alexkess

publer-mcp-server

by alexkess

publer_get_analytics

Retrieve analytics charts for a social account, showing followers, reach, and engagement over a specified time period.

Instructions

Get analytics charts for a social account (followers, reach, engagement over time).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoEnd date (ISO)
fromNoStart date (ISO)
account_idYesAccount ID to get analytics for
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. It does not disclose behavioral traits such as whether this is a read-only operation, authentication requirements, rate limits, or any side effects. For a tool returning analytics data, this lack of transparency is a gap.

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, concise sentence that immediately conveys the tool's function. It is front-loaded and contains no unnecessary words, though it could be structured with bullet points for clarity.

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

Completeness3/5

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

Given the tool has three parameters, no output schema, and no annotations, the description is minimal but covers the basic purpose. However, it lacks details on return format, date range behavior (e.g., inclusive/exclusive), or how charts are structured, which would improve completeness.

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 are described in the input schema (100% coverage), so the description adds minimal value beyond listing metrics. The mention of 'over time' hints at date range usage, but does not provide additional semantics not already in the schema.

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 verb 'Get' and resource 'analytics charts for a social account', listing specific metrics (followers, reach, engagement). However, it does not differentiate from sibling tools like publer_get_hashtag_analysis or publer_get_post_insights, which may have overlapping purposes.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool over alternatives (e.g., get_post_insights). Usage is implied by the name and description, but without exclusions or context, an agent may not choose it correctly in ambiguous scenarios.

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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