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Get one post in full

get_post
Read-only

Fetch full text + engagement numbers for one specific post by id. Use when the user references a specific post and you want exact numbers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_idYesThe post's id as list_posts returns it: a tweet id, a LinkedIn URN (urn:li:...), or a VoiceMoat post id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / post_id / description
      Previous value: -"Post id (UUID or slug)."New value: +"The post's id as list_posts returns it: a tweet id, a LinkedIn URN (urn:li:...), or a VoiceMoat post id."
  2. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description usefully discloses the payload (full text plus engagement numbers) but says nothing about behavior on an invalid or unknown id, and there is no pagination/error context.

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 short sentences, with the core capability front-loaded and the usage trigger second. Every clause carries information and nothing is padded.

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

Completeness4/5

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

For a single-resource read with no output schema, the description tells the agent what comes back (full text and engagement numbers), which compensates for the absent return schema. Minor gaps around invalid-id behavior remain, but nothing essential to calling it 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%; the schema already documents that post_id accepts a tweet id, LinkedIn URN, or VoiceMoat id. The description's "by id" adds no meaning beyond that, 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 (fetch), resource (one post), and scope (full text + engagement numbers, by id), which cleanly separates it from the plural sibling list_posts and the aggregate get_analytics.

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

Usage Guidelines4/5

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

"Use when the user references a specific post and you want exact numbers" is an explicit positive trigger condition. It stops short of naming an alternative (e.g. list_posts for browsing) or stating when not to use it, so it is clear context without exclusions.

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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