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oriiion

by ai.oriiion
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Edit Caption

edit_caption

Update the caption/text of an existing post. Without a platform, the main caption is updated everywhere. With a platform, only that platform's caption variant is changed (other platforms keep theirs).

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>",
      "caption": "<caption>"
    },
    "name": "edit_caption"
  }
}

Input Schema

NameRequiredDescriptionDefault
postIdYesThe post ID to edit
captionYesThe new caption text
platformNoOnly update the caption for this platform

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavioral detail beyond that: omitting platform rewrites the main caption everywhere, whereas supplying platform scopes the change and explicitly leaves other platforms' variants intact.

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, purpose front-loaded, then the branching behavior. No filler; every clause carries operational meaning.

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 mutation tool with no output schema and full annotation coverage, the description supplies the operation, its scope, and the platform-conditional behavior an agent needs to call it correctly. Nothing essential 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 coverage is 100%, so the baseline is 3, but the description adds meaning the schema does not: it clarifies the default behavior when the optional platform is omitted (update the main caption everywhere) versus its scoped effect. This resolves the ambiguity the bare 'Only update the caption for this platform' schema note leaves.

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 (update) and resource (caption/text of an existing post), which cleanly distinguishes it from generation siblings like generate_platform_captions and from add_image_to_post. An agent can identify the operation without opening the schema.

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?

The description implies the use case (editing an existing post's caption) but never names an alternative tool or states when not to use it. The with/without-platform sentence is really parameter behavior, not selection guidance.

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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