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openl-tablets

OpenL MCP Server

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List Guides

openl_list_guides
Read-onlyIdempotent

Search and filter the bundled OpenL reference documentation by type or keyword, returning only metadata to help locate the correct specification or guide before fetching its full content.

Instructions

List the OpenL reference documentation bundled with this server — METADATA ONLY (id, type, title, source path, size in bytes), never bodies; fetch bodies with openl_get_guides. The bundle embeds the OpenL Tablets docs at the release tag matching the targeted OpenL Studio version: 'specification' entries are config-file/project-layout specs (rules.xml, rules-deploy.xml, project structure, openl-maven-plugin), 'guide' entries are the Reference Guide chapters (table types, table properties, functions and data types, projects, BEX/function appendices). Filter with 'type' and/or case-insensitive 'search' over id+title; results are paginated (limit/offset). Read-only, local — never calls OpenL Studio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by document type: 'specification' (config-file and project-layout specs, e.g. rules.xml) or 'guide' (OpenL Tablets Reference Guide chapters). Omit for both.
limitNo
offsetNo
searchNoCase-insensitive substring matched against each entry's id and title (e.g. 'decision table', 'spreadsheet', 'rules.xml').
response_formatNoResponse format: 'json' for structured, round-trippable data (default), 'markdown' for human-readable output, 'markdown_concise' for a brief summary (1-2 paragraphs), or 'markdown_detailed' for full details with contextjson

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changedv1.2.0
    • changedInput schema / properties / response_format / default
      Previous value: -"markdown"New value: +"json"
    • changedInput schema / properties / response_format / description
      Previous value: -"Response format: 'json' for structured data, 'markdown' for human-readable (default), 'markdown_concise' for brief summary (1-2 paragraphs), 'markdown_detailed' for full details with context"New value: +"Response format: 'json' for structured, round-trippable data (default), 'markdown' for human-readable output, 'markdown_concise' for a brief summary (1-2 paragraphs), or 'markdown_detailed' for full details with context"
  2. Addedv1.1.0

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already provide readOnlyHint and idempotentHint, and the description adds complementary behavioral detail: it never returns bodies, never calls OpenL Studio, embeds docs at a specific release tag, and explains the meaning of the two entry types. This goes well beyond annotation defaults without contradicting them.

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?

The description is dense but efficient, front-loading the most decision-relevant fact (metadata only, use openl_get_guides for bodies) before explaining entry categories and filtering. Every clause adds useful information; nothing is filler.

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?

Despite lacking an output schema, the description specifies the exact metadata fields returned, explains the content categories, covers filtering and pagination, names the companion tool for bodies, and notes the local read-only nature. This is complete enough for an agent to select and invoke the tool correctly.

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 description adds meaningful parameter context beyond the schema: it clarifies what 'type' values represent, that 'search' is case-insensitive over id and title, and that results are paginated via limit/offset. It does not describe response_format, but the schema already provides a solid enum description for it.

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?

The description states a specific action ('List'), a clear resource ('OpenL reference documentation bundled with this server'), and an explicit scope ('METADATA ONLY') that distinguishes it immediately from openl_get_guides. It also names the sibling for retrieving bodies, removing ambiguity.

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?

The description explicitly directs agents to use openl_get_guides when bodies are needed, establishes this as the metadata-browsing entry point, and clarifies filtering and pagination behavior. It also notes the tool is read-only and local, giving clear context for when it is appropriate to invoke.

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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