Open Kioku

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Open Kioku List Languages

list_languages

Read-onlyIdempotent

Identify programming languages detected and indexed in the repository, including support status, to decide language-specific investigation paths without rescanning.

Instructions

List all programming languages detected and indexed in the repository, alongside support status. Use for a quick language/support overview before choosing language-specific investigation paths. This is read-only and does not rescan the repository.

Input Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

Output Schema

TableJSON Schema

Name	Required	Description	Default
`value`	No	Wrapped non-object output, used for Markdown, TOON, or scalar responses.

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedv2.2.3Jul 4, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "description": "The MCP structuredContent object returned by this Open Kioku tool. Most tools expose their JSON fields directly; string or scalar tool outputs are wrapped as {\"value\": ...}.",
+  "properties": {
+    "value": {
+      "description": "Wrapped non-object output, used for Markdown, TOON, or scalar responses."
+    }
+  },
+  "type": "object"
+}

First observedv2.0.1Jun 10, 2026

TDQS

A4.3/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so description adds little new. It confirms read-only and states no rescanning, but overall behavioral insight is already covered by annotations.

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, no filler. First sentence states function, second adds usage guidance and behavioral note. Efficient and front-loaded.

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?

Given simple tool with no parameters, rich annotations, and existing output schema, the description covers purpose, usage context, and behavior completely. No gaps.

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?

Input schema has 0 parameters, baseline is 4. Description does not need to add parameter info; it focuses on tool purpose and usage.

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 clearly states the tool lists programming languages with support status. It uses specific verb 'list' and resource 'programming languages', distinguishing from sibling tools focused on architecture, code analysis, or searching.

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?

Provides explicit usage context: 'Use for a quick language/support overview before choosing language-specific investigation paths.' Implicitly guides against using for detailed analysis, but does not name specific alternatives or when not to use.

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