JobMojito

List supported languages

list_languages

Read-onlyIdempotent

[Admin] List supported platform (mojito) languages: the code to pass as mojito_language_code, English/local names, SVG flag URL, per-interface enablement flags, and Azure speech accents.

Returns all supported platform (mojito) languages: the mojito language code, English and local names, and an SVG flag image URL. Use the code as mojito_language_code when creating interviews or personas.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`conversation_id`	No	Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`languages`	Yes	Supported platform languages, sorted by English name.
`_mcp_instructions`	No	Server-issued metadata for this conversation.

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 27, 2026

changedInput schema / properties / conversation_id / description

Previous value: -"Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it."New value: +"Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."

Changed2 schema fields changedSep 23, 2026

addedInput schema / properties / conversation_id

Added value: +{
+  "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
+  "type": "string"
+}

addedOutput schema / properties / _mcp_instructions

Added value: +{
+  "description": "Server-issued metadata for this conversation.",
+  "properties": {
+    "conversation_id": {
+      "description": "The server-issued conversation identifier.",
+      "type": "string"
+    }
+  },
+  "type": "object"
+}

First observedJul 30, 2026

TDQS

B3.4/5.0

Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds the '[Admin]' qualifier and the returned field list, but discloses nothing about permissions, rate limits, or freshness beyond that.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence and the follow-up sentence overlap heavily, repeating English/local names and the SVG flag URL, and the second sentence drops the 'per-interface enablement flags' and 'Azure speech accents' items without explanation. Front-loading is fine but the redundancy costs it.

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 read-only discovery tool with full annotations and an output schema, the definition is essentially complete. The only gap is the missing routing guidance, and the restated return-value prose is redundant against the output schema but not harmful.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter (conversation_id) has 100% schema description coverage with detailed protocol instructions, so the schema carries the load. The description mentions 'code' only as a returned field, adding no input-parameter meaning; baseline 3 applies.

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

Purpose4/5

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

The description states a specific verb and resource ('List supported platform (mojito) languages') and enumerates the returned fields, so an agent knows exactly what it yields. It is clear but does not need sibling differentiation, since no other tool in the list serves this purpose.

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?

Usage is only implied: the sentence 'Use the `code` as `mojito_language_code` when creating interviews or personas' tells the agent how to consume the output, not when to call this tool versus alternatives. There is no explicit when-to-use or when-not-to-use guidance.

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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