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AdaptlyPost

by com.adaptlypost
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List Post Analytics

list_post_analytics
Read-only

Per-post metrics for posts published inside the window, sorted by a metric or by publish date, paginated. Use it for "top posts", "which post got the most comments" and "how did post X do". Covers posts published through AdaptlyPost and posts discovered on the connected accounts; discovered posts have postId and postPlatformId set to null, while AdaptlyPost posts carry the postId used by get_post. Returns { posts, total, page, limit, hasMore }; each post has platform, publishedAt, title, thumbnailUrl, permalink, accountName and metrics { views, likes, comments, shares, saves, clicks, impressions, reach, engagementRate }, with null for metrics the platform does not report. Sort by VIEWS with a small limit for a top list; PUBLISHED_AT (default) for a chronological review. Not for publishing status: use list_post_results for that.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesEnd of the reporting window (ISO 8601). Must not be earlier than from
fromYesStart of the reporting window as an ISO 8601 date or instant (e.g. "2026-08-01"). Metrics cover posts published between from and to; the comparison window is the same length immediately before from
pageNoPage number, from 1
limitNoPosts per page, 1 to 100
sortByNoMetric to sort by, descending. PUBLISHED_AT (default) lists newest first
platformsNoRestrict to these platforms; omit for every platform with analytics. X (TWITTER) and MASTODON have no analytics and are ignored; LinkedIn analytics are pending platform approval and return no data yet
workspaceIdNoWorkspace to act in: an id from list_workspaces. Omit to act in the workspace list_workspaces marks current. Use the same workspaceId for every call about the same workspace, since ids from one workspace (accounts, posts, uploads) do not exist in another

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoAn object with posts (each { id, postId, postPlatformId, platform, publishedAt, title, thumbnailUrl, permalink, accountName, metrics }), total, page, limit, and hasMore.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedOutput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
  2. Changed6 schema fields changed
    • addedInput schema / properties / limit / maximum
      Added value: +100
    • addedInput schema / properties / limit / minimum
      Added value: +1
    • changedInput schema / properties / limit / type
      Previous value: -"number"New value: +"integer"
    • addedInput schema / properties / page / minimum
      Added value: +1
    • changedInput schema / properties / page / type
      Previous value: -"number"New value: +"integer"
    • changedInput schema / properties / workspaceId / description
      Previous value: -"Workspace to act in: an id from list_workspaces. Omit to use the default workspace. Use the same workspaceId for every call about the same workspace, since ids from one workspace (accounts, posts, uploads) do not exist in another"New value: +"Workspace to act in: an id from list_workspaces. Omit to act in the workspace list_workspaces marks current. Use the same workspaceId for every call about the same workspace, since ids from one workspace (accounts, posts, uploads) do not exist in another"
  3. Changed1 schema field changed
    • addedInput schema / properties / workspaceId
      Added value: +{
+  "description": "Workspace to act in: an id from list_workspaces. Omit to use the default workspace. Use the same workspaceId for every call about the same workspace, since ids from one workspace (accounts, posts, uploads) do not exist in another",
+  "type": "string"
+}
  4. Changed2 schema fields changed
    • changedInput schema / properties / platforms / description
      Previous value: -"Restrict to these platforms; omit for every platform with analytics. X (TWITTER) has no analytics and is ignored; LinkedIn analytics are pending platform approval and return no data yet"New value: +"Restrict to these platforms; omit for every platform with analytics. X (TWITTER) and MASTODON have no analytics and are ignored; LinkedIn analytics are pending platform approval and return no data yet"
    • changedInput schema / properties / platforms / items / enum
      Previous value: -[
-  "LINKEDIN",
-  "YOUTUBE",
-  "INSTAGRAM",
-  "FACEBOOK",
-  "TIKTOK",
-  "PINTEREST",
-  "THREADS",
-  "BLUESKY",
-  "TWITTER"
-]New value: +[
+  "LINKEDIN",
+  "YOUTUBE",
+  "INSTAGRAM",
+  "FACEBOOK",
+  "TIKTOK",
+  "PINTEREST",
+  "THREADS",
+  "BLUESKY",
+  "TWITTER",
+  "MASTODON"
+]
  5. Added

TDQS

A4.8/5.0
Behavior5/5

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

Annotations declare this a safe read (readOnlyHint=true, destructiveHint=false), and the description adds behavior annotations could not: discovered posts have postId/postPlatformId null, metrics are null where the platform does not report them, and TWITTER/MASTODON are ignored while LinkedIn analytics are pending approval. These are the exact gotchas that would otherwise cause misinterpretation of results.

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?

Purpose, sort guidance and the sibling exclusion are front-loaded, and every clause is informative. It is dense and runs long, and the enumerated return-field list partly duplicates the output schema, keeping it short of a 5.

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?

With an output schema present, the description need not restate return values, yet it supplies the null-semantics and platform-coverage caveats an agent needs to interpret them. Combined with window, sorting, pagination and workspace scoping, nothing required to call or read the tool is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all seven parameters, and the description stays above baseline by adding operational meaning: sort semantics (descending, PUBLISHED_AT newest first, VIEWS+small limit for a top list) and the platform restriction caveats. It does not materially extend from/to, page or limit beyond the schema, which is why it does not reach 5.

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+resource ('Per-post metrics for posts published inside the window') plus the sorting and pagination model in the first sentence. It distinguishes itself from get_post (per-post detail), list_post_results (publishing status) and get_analytics_overview by naming them or scoping itself explicitly.

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?

Gives concrete natural-language use cases ('top posts', 'which post got the most comments', 'how did post X do') and an explicit exclusion: 'Not for publishing status: use list_post_results for that.' It also routes on sort choice (VIEWS with a small limit vs PUBLISHED_AT for chronological review).

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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