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get_posts_analytics

Read-only

Get analytics for several published posts at once (up to 100), each totalled into impressions and engagements. Use this instead of calling get_post_analytics in a loop — it is a single request rather than one per post.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_idsYesNumeric OmniSocials post ids (the `id` field from list_posts), up to 100. NOT platform post ids such as YouTube video ids or tweet ids.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds real behavioral context beyond that: results are aggregated (totalled into impressions and engagements), the batch cap is 100, and the call is a single request rather than N. It does not discuss pagination, partial failures, or permission requirements, so not a full 5.

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?

Two sentences, zero waste. The scope and cap are front-loaded, and the routing instruction to get_post_analytics follows immediately after.

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

Completeness5/5

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

For a one-parameter read tool with annotations covering the safety profile and no output schema, the description supplies what an agent needs: the batching semantics, the cap, the aggregation into impressions/engagements, and the alternative it replaces. Nothing material is missing.

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% and the single parameter is already documented in the schema, including the numeric-OmniSocials-id vs platform-id distinction and the maxItems=100 cap. The description's 'up to 100' and 'published posts' restate the schema rather than adding syntax or format meaning, so the baseline 3 applies.

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?

States a specific verb (Get) and resource (analytics) with an explicit scope: several published posts at once, up to 100, totalled into impressions and engagements. It names the sibling get_post_analytics and explains how it differs, so an agent can select it without opening either schema.

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

Usage Guidelines5/5

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

Explicitly says to use this instead of calling get_post_analytics in a loop, and gives the reason (single request rather than one per post). This is a clear when-to-use directive with the alternative named.

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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