oriiion

Set First Comment

set_first_comment

Set an automatic first comment for a post (posted right after publishing — commonly used for hashtags or links). Supported on Facebook, Instagram and LinkedIn. Pass an empty string to remove it.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "postId": "<postId>",
      "platform": "<platform>",
      "comment": "<comment>"
    },
    "name": "set_first_comment"
  }
}

Input Schema

Name	Required	Description
`postId`	Yes	The post ID
`comment`	Yes	The first comment text (empty string removes it)
`platform`	Yes	Which platform the first comment is for

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 21, 2026

TDQS

A3.8/5.0

Behavior4/5

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

Annotations already declare this is a non-read-only, non-destructive, non-idempotent mutation. The description adds real behavioral context beyond that: the comment posts automatically right after publishing, the supported platform set, and the empty-string removal mechanism. Missing only edge behavior (e.g., what happens on an unsupported platform).

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?

One compact paragraph, front-loaded with the core action, followed by scope, platforms, and the removal trick. No wasted sentences.

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 3-parameter tool with full schema coverage, annotations, and no output schema, the description covers action, timing, platform scope, and removal semantics — enough to call it correctly. It could note failure modes for unsupported platforms, but nothing essential 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 description adds essentially nothing beyond it — 'empty string removes it' and the platform list are both already in the schema. Baseline 3 is appropriate when the schema does all the parameter 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?

States a specific verb and resource ('Set an automatic first comment for a post') and clarifies the timing ('posted right after publishing'), which implicitly separates it from reply_to_comment and create_comment_automation. It does not name a sibling explicitly, so it stops short of a 5, but the purpose is unambiguous.

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?

'Supported on Facebook, Instagram and LinkedIn' and 'commonly used for hashtags or links' give context for applicability, but there is no explicit when-to-use vs alternatives guidance (e.g., versus reply_to_comment or create_comment_automation). Usage is implied rather than stated.

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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