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retry_launch_content

retry AI content generation for failed platforms (requires generate scope)

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": {
      "id": "<id>"
    },
    "name": "retry_launch_content"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYeslaunch ID
platformsNospecific platforms to retry (defaults to all failed platforms)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations only tell the agent this is a non-destructive mutation. The description adds two pieces of genuinely useful context not present in structured fields: the required 'generate' scope (an auth prerequisite) and the fact that the operation is confined to failed platforms, leaving successful ones untouched. It still does not say whether existing content is overwritten or whether an in-progress generation blocks the retry.

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?

A single front-loaded sentence with the action first and the auth constraint in parentheses; nothing is wasted or buried.

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 simple two-parameter mutation with no output schema and clear annotations, the description supplies the essential scope and permission requirements. A brief note on the expected result (e.g., which platforms were rescheduled) would make it fully complete.

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 coverage is 100%, and the schema already documents 'id' as the launch ID and 'platforms' as an optional list defaulting to all failed platforms. The description adds no format, fallback, or enumeration details beyond that, so the schema is doing the heavy lifting and the baseline 3 applies.

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?

The description states a specific verb ('retry') and resource ('AI content generation') and narrows the scope to 'failed platforms', which separates it from a generic retry such as retry_launch. It stops short of explicitly contrasting itself with the sibling retry_launch, so the distinction is implied rather than spelled out.

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 phrase 'for failed platforms' implies the precondition (a launch with failed platform generations) and the schema default confirms it, but the description never says when to use this versus retry_launch or generate_content, nor when not to use it.

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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