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VladimirBigunenko

mcp-utility-server

soc_lang_card

Get a daily language card pairing a German word with a security operations term. Choose your level and SOC focus to build vocabulary for SOC work, with a consistent card per day.

Instructions

Daily language card: German word (A1/A2) + SOC term (EN/DE/RU).

level: A1 | A2 focus: optional context filter: 'SOC Fundamentals' | 'Detect' | 'Triage' | 'Correlate' | 'Respond' | 'Visualize' | 'Notify' | 'Interview' Selection is deterministic (hash of date) — same card all day. Returns dict: {status, selected_for_date, german_word, soc_term, fetched_at}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
focusNo
levelNoA1

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the burden of disclosing behavior. It does so meaningfully: selection is deterministic via a date hash, the same card is served all day, and the exact return dict keys are listed. Side effects and error behavior are not discussed, but the tool is inherently read-only and its core behavior is transparent.

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?

The description is compact and front-loaded: a one-line purpose, followed by parameter constraints, deterministic behavior, and return shape. Every line adds useful information without repetition or filler.

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?

Given the tool's simplicity, two optional parameters, and an output schema, the description covers the essential invocation details: level options, focus choices, determinism, and return keys. Minor gaps such as timezone/date semantics or richer focus descriptions exist, but nothing blocks correct usage.

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?

Schema description coverage is 0%, so the description compensates by documenting the allowed values for level (A1|A2) and listing all focus options as an optional context filter. It adds meaning the schema lacks, though it could further explain what each focus changes about the returned card.

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 opens with a clear summary of what the tool does: it returns a daily language card pairing a German word at A1/A2 with a SOC term in EN/DE/RU. It names the resource and output precisely, though it does not explicitly differentiate it from the sibling word_of_day tool.

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?

The description implies usage by explaining that selection is deterministic and that focus is an optional context filter with enumerated SOC domains. However, it does not explicitly say when to use this tool instead of alternatives like word_of_day, nor does it state exclusions or preferred contexts.

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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