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review_script

Script Review (3 credits): your pasted script read like a Video Review on estimated times, plus machine-sounding lines and a fact-check list. Runs as a job. Same as POST /v1/scripts/review.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "review_script"
  }
}

Input Schema

NameRequiredDescriptionDefault
titleNo
scriptNo
api_keyNo
idempotency_keyNo1 to 255 visible ASCII characters; the same key and request within 24 hours answer the saved remix and charge nothing; the same key with another request is 422 idempotency_key_reused

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior4/5

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

With no annotations, the description carries real load and does: it discloses the 3-credit cost and that it 'runs as a job' (async execution), plus what the output contains. It omits authentication expectations and, crucially, how a caller retrieves job results (get_job), so it stops short of full disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Short overall, but the leading sentence is convoluted ('your pasted script read like a Video Review on estimated times') and buries the cost and async traits mid-string. The 'Same as POST /v1/scripts/review' tail is useful compactly.

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

Completeness3/5

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

An output schema exists so return values need not be described, and cost/async are covered. However, for a job-based tool with four parameters at 25% schema coverage and null-defaulted fields, the description should tell the agent the script is the core input and how to follow up on the job; that gap is material.

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

Parameters2/5

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

Schema coverage is only 25% — only idempotency_key is documented in the schema, and that documentation is thorough. The description adds nothing about the other three parameters: title, script (presumably required in practice despite all being nullable), and api_key. It gestures at 'pasted script' but does not clarify requiredness or formats.

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?

Names a specific verb+resource (review a script) and describes the output dimensions: estimated times, machine-sounding lines, and a fact-check list. The phrasing 'read like a Video Review' is awkward and the differentiation from sibling reviewers (review_video, review_short, review_hook) is only implied by 'pasted script' rather than stated.

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

Usage Guidelines2/5

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

No explicit when-to-use or when-not-to-use guidance relative to the many sibling review_* tools, and no stated prerequisites (e.g. that a script should exist first, or that write_script precedes this). Only the credential-cost and API-equivalence line are given, which is not usage 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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