Skip to main content
Glama

List built-in rule presets (cookbook)

list_rule_presets
Read-only

Returns the cookbook of one-click rule presets — covers common title cleanup, description stripping, price formatting, category mapping, etc. Each entry includes id, category, label, description, and the prebuilt FieldRule[] payload (build() output) that you can splat directly into update_field_rules.

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": "list_rule_presets"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. Beyond that, the description discloses the return shape (id, category, label, description, prebuilt FieldRule[] payload) and that the payload is ready to use directly, which is meaningful since no output schema exists; it omits nothing an agent needs for a parameterless static listing.

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 sentences, front-loaded with the resource and its purpose, then the entry structure. The illustrative list of preset categories earns its place by telling the agent what kinds of presets exist; nothing is redundant.

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?

For a parameterless, read-only catalog with no output schema, the description supplies everything needed: what it returns, the fields per entry, and how the FieldRule[] payload is consumed downstream. There is no missing prerequisite, pagination, or side-effect information to add.

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 no parameter semantics to explain; baseline 4 applies. The description correctly adds no parameter discussion and instead spends its words on the return payload.

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 ('Returns the cookbook of one-click rule presets') and enumerates what the presets cover, so an agent knows this is a static catalog of reusable rule bundles. It also implicitly distinguishes itself from update_field_rules by naming that sibling as the consumer of this output.

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?

The phrase 'one-click rule presets' and 'splat directly into update_field_rules' tells the agent the intended workflow: fetch presets here, then apply them via update_field_rules. It does not explicitly state when NOT to use it (e.g., authoring custom rules from scratch), but the context is clear enough for a zero-parameter read tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources