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available_languages

Get list of supported languages

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. 'Get list' implies a read-only, side-effect-free operation, but the description never states that, nor does it describe whether the list is static or configured per user. For a zero-parameter lookup the risk is low, so this is a moderate rather than severe gap.

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

Conciseness4/5

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

A single short sentence with no filler, and the resource is front-loaded after the verb. It is arguably too terse rather than padded, but nothing in it is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description should ideally indicate the shape of the result, such as language codes, display names, or whether it reflects user configuration. It is adequate for a trivial zero-parameter tool, but an agent still cannot predict the response format from the definition.

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 input schema has zero properties and 100% coverage, so there are no parameters whose semantics need explaining. The description correctly says nothing about inputs, which is the right call here.

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 gives a specific verb and resource: 'Get list of supported languages'. It is unambiguous about what the tool returns at a high level. It does not need to differentiate from siblings like stoic_principle or save_reflection, which serve entirely different purposes, so the lack of explicit sibling routing is a minor omission.

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: an agent can infer this is a discovery/utility call to enumerate language options before some other operation. There is no explicit when-to-use statement, no mention of when not to call it, and no named alternative, but the zero-parameter nature makes the intent reasonably self-evident.

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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