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XCut AI – Viral Content Research

Audit content

xcut_audit_content
Read-onlyIdempotent

Use this when the user wants a consistency check across 3 to 10 of their past titles or captions. Free; no sign-in. Output is generic: for work based on the user's own posts, canvases or brand, use the signed-in XcutAI tools. Do not use for writing unrelated to social media or marketing content.

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": {
      "titles_or_captions": "<titles_or_captions>"
    },
    "name": "xcut_audit_content"
  }
}

Input Schema

NameRequiredDescriptionDefault
platformNoPlatform they were posted on, e.g. "instagram"; "general" if mixed.general
titles_or_captionsYes3 to 10 past titles or captions, one per item.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds behavior the annotations cannot: 'Free; no sign-in' and the fact that output is generic versus personalized signed-in tools. That auth/cost and output-fidelity context is genuinely useful beyond structured fields.

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?

Three short sentences, front-loaded with the 'Use this when...' trigger, then cost/scope, then the exclusion. No redundant or filler text; every sentence carries a distinct routing or behavioral fact.

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?

No output schema exists, but the description tells the agent the output is 'generic,' which sets return-value expectations. With only two fully-documented params and full annotation coverage, the definition supplies everything needed to invoke the tool correctly, bar a named alternative sibling.

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%, so both parameters (titles_or_captions, platform) are already documented with defaults, lengths and item bounds. The description only restates the 3-to-10 count already encoded as minItems/maxItems, adding no new parameter meaning. Baseline 3 is appropriate when the schema carries the load.

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 action and resource: a 'consistency check across 3 to 10 of their past titles or captions.' An agent can distinguish this from writing tools like xcut_write_caption or xcut_write_content. It stops short of naming a near-neighbor analysis sibling (e.g. xcut_analyze_script), so it is clear but not fully differentiated.

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?

Gives an explicit trigger ('Use this when the user wants a consistency check...'), a scope bound (3 to 10 titles/captions), and a negative rule ('Do not use for writing unrelated to social media or marketing content'). It routes own-brand work to 'the signed-in XcutAI tools' but names no specific sibling, leaving the agent to infer which one.

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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