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Reading languages

get_languages
Read-only

Languages a SwiftPrism Elite member can read headlines, Deep Insights™, and the Economic Calendar in, and hear Headline Voice in.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds domain scoping (which content surfaces the languages apply to, including Headline Voice), but says nothing about return format, ordering, or whether the list is static. Given the annotation coverage, this is an acceptable but not rich addition.

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 key noun (languages) is front-loaded. It reads as a sentence fragment rather than a complete statement of purpose, which slightly weakens the framing, but nothing 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?

For a zero-parameter, read-only lookup with no output schema, the description covers what the tool is about but not what it returns — language codes vs. display names, ordering, or locale coverage. It is adequate for an agent to identify the tool but leaves the return contract entirely unspecified.

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 takes zero parameters, so the baseline of 4 applies. There are no arguments whose semantics need explaining, and the description introduces no parameter concepts that conflict with the empty schema.

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

Purpose3/5

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

The description identifies the resource (supported languages) and scopes it to specific content types — headlines, Deep Insights, Economic Calendar, Headline Voice. However, it is a noun fragment with no verb, so it never explicitly says it returns the list of available languages; the agent must infer the action. It also does not distinguish itself from the sibling tools (checkout link, features, plans, trial), which are all unrelated so the risk is low.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance is given, and no alternative or related tool is named. There is no indication of whether this should be called before or after get_features/get_plans, or what a caller should do with the result. The description is purely definitional.

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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