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Skill: best practices

get_skill_best_practices
Read-onlyIdempotent

How to build a landing page that CONVERTS: section composition and order, copywriting rules, and visual design principles. Load before designing or writing copy.

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": "get_skill_best_practices"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world behavior, so the safety profile is fully covered. The description adds that this is instructional content to be consumed during page construction rather than data to be acted on, but says nothing about output format or scope/limits of the guidance.

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 short sentences, zero filler: the subject matter is front-loaded and the usage instruction follows immediately. Every clause carries distinct information (topic, sub-topics, timing).

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 zero-param, read-only skill document with rich annotations, the description covers what the agent gets and when to load it. The only minor gap is not stating the shape of the returned guidance (e.g., structured markdown), which is not covered by an output schema.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and no schema gap to compensate for. Baseline 4 applies for a parameterless tool.

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 names a specific resource — landing-page best practices — and enumerates its coverage (section composition and order, copywriting rules, visual design principles), which separates it from adjacent skills like get_skill_page_structure or get_skill_conversion_optimization. It never explicitly states the verb 'returns guidance content', but the framing makes the resource type unambiguous.

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?

'Load before designing or writing copy' gives a concrete, actionable trigger point in the workflow, which is exactly what an agent needs for a knowledge-loading tool. It stops short of naming alternatives or exclusions (e.g., when to prefer get_skill_conversion_optimization instead), so it is clear context without full routing.

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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