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NinFenz Content Gate

NinFenz Content Gate

by Monyeah777
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

List patterns

pattern_list
Read-onlyIdempotent

List engineering pattern IDs and metadata from local PATTERN.md files, sorted by ID, to find a pattern before reading its full text. Returns id, path, title, and status only, not pattern bodies.

Instructions

List engineering patterns as id/path/title/status metadata from patterns/*/PATTERN.md, sorted by ID. Use it to discover a pattern ID before pattern_read; do not use it to fetch pattern text (use pattern_read instead) or to list modules/assets (module_read / asset_list). Returns metadata only, never the PATTERN.md body, with no pagination; no matches yields an empty list, and each call rescans the local patterns directory.

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": "pattern_list"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
itemsYesPatterns sorted by ID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.11.3

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnly/idempotent/non-destructive, and the description adds genuinely new behavioral facts: metadata-only returns, no pagination, empty list on no match, and a fresh rescan of the local patterns directory on every call. The last point is a real cost/consistency signal not derivable from the annotations.

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?

Front-loads the core purpose and return shape, then routes to alternatives, then the operational caveats. Dense but each clause carries distinct information; slightly long for a zero-parameter list tool.

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

Completeness5/5

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

An output schema exists, yet the description still summarizes the return shape and edge cases (empty list, no pagination, metadata only). Combined with the strong routing guidance, an agent has everything needed to call and interpret it.

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 the baseline is 4; the description correctly implies no filtering or paging inputs, but with an empty schema there is nothing further to add.

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

Purpose5/5

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

States a specific verb and resource ('List engineering patterns as id/path/title/status metadata from patterns/*/PATTERN.md, sorted by ID') and explicitly contrasts itself with pattern_read, module_read, and asset_list, so an agent can distinguish it from every sibling without opening a schema.

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

Usage Guidelines5/5

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

Gives both the positive case ('Use it to discover a pattern ID before pattern_read') and the negative case ('do not use it to fetch pattern text ... or to list modules/assets'), naming the correct alternatives for each. Nothing about when to select this tool is left to inference.

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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