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DraftCheck AI-writing linter

slop_check_long

PAID $0.002 USDC via x402 (Base). Same as slop_check for texts up to 200000 chars.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses a paid operation ($0.002 USDC via x402 on Base), which is real behavioral context an agent needs before invoking, but says nothing about return format, failure modes, or what happens on oversized input.

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

Conciseness4/5

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

Two short sentences, cost front-loaded, no filler. It is efficiently sized, though the reliance on a sibling reference costs it some self-contained clarity.

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?

For a single-parameter tool with no output schema, the description covers cost and input size but omits what the check returns and what 'slop' means. Adequate as a pointer to slop_check, incomplete as a standalone definition.

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 0%, but there is only one parameter and its meaning ('text') is self-evident from the tool's purpose and the size bound. The description adds no format details beyond the implied character limit, so it neither compensates nor misleads.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description defines the tool only by reference to a sibling ('Same as slop_check'), so an agent that hasn't resolved slop_check's meaning cannot tell what this tool actually does. The size bound (up to 200000 chars) narrows it, but the core verb/resource is delegated 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 Guidelines3/5

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

The size limit implies the routing rule versus slop_check (use this for longer texts), and the payment note signals a prerequisite. However, neither the alternative nor the exclusion is stated explicitly, so the agent must infer when to prefer this over slop_check.

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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