Languages
list_languagesThe 60 languages Ordkort teaches and explains in, with their codes.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_languagesThe 60 languages Ordkort teaches and explains in, with their codes.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds that the set is fixed and complete (exactly 60 languages) against a closed-world annotation, which is useful context, but it says nothing about ordering or format of the returned codes.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single compact sentence that front-loads the resource and the completeness count with zero wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter enumeration with no output schema, the description adequately conveys what is returned (language names with codes). Ordering and exact code format are the only minor gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline is 4. Nothing extra is needed or expected from the description here.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific resource (the 60 languages Ordkort teaches) and states the payload (their codes). It is a noun phrase rather than a verb+resource, and it does not explicitly distinguish itself from list_topics, but an agent can tell what it returns.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no statement of when to call this tool or when to prefer an alternative such as list_topics. Usage is only inferable from the name and the payload description.
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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