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Kapeli

dash-mcp-server-node

Official
by Kapeli

list_installed_docsets

Lists all documentation sets installed in Dash to show available offline docs. Returns an empty list when no docsets are installed.

Instructions

List all installed documentation sets in Dash. An empty list is returned if the user has no docsets installed. Results are automatically truncated if they would exceed 25,000 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv1.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses two important behaviors: an empty list is returned when no docsets are installed, and results are auto-truncated at 25,000 tokens. This is solid context for a simple read-only list operation.

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?

Three short sentences with no filler. The main action is front-loaded, and the edge-case behaviors are stated efficiently. Every sentence contributes useful information.

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-parameter list tool with no output schema, the description covers the essential return behaviors: empty-list handling and truncation. It does not describe the exact shape of each docset item, but this is a minor gap given the simplicity of the tool.

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 has zero parameters, so there is no parameter semantics burden. The description appropriately does not invent parameter details, and no additional meaning is needed beyond the empty schema.

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 uses a specific verb-resource pair ('List all installed documentation sets in Dash') that clearly states what the tool does. It is immediately distinguishable from sibling tools like search_documentation and load_documentation_page.

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 description clearly implies this is the tool for enumerating installed docsets, and the sibling names suggest alternatives for searching and loading pages. However, it does not explicitly state when to prefer this tool over the siblings or mention any prerequisites.

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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