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create_deck

Validate a study-deck JSON object and return the shareable own-words link with the card count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deckYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does disclose the return payload (link + card count), but says nothing about side effects: whether the deck is persisted/stored, whether the operation is idempotent, what happens when validation fails, or whether the resulting link is public/unguessable.

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?

A single front-loaded sentence with no filler that states action and outcome immediately. Nothing in it is redundant.

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

Completeness2/5

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

For a tool taking an unstructured nested object with no output schema and no annotations, the description is too thin: it never defines the deck shape or the validation rules the agent must satisfy. Only the return values are conveyed.

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

Parameters2/5

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

Schema coverage is 0% and the single parameter is a free-form nested object with additionalProperties {} and no property definitions. The description only labels it a 'study-deck JSON object', which does not tell the agent what fields (cards, title, etc.) are required or expected, so it fails to compensate for the coverage gap.

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 names a specific action pair (validate, return) and specific outputs (shareable own-words link, card count) on a specific resource (study-deck JSON object). It is clear enough to distinguish from a generic create, though the name create_deck implies persistence the description never confirms, leaving a small verb/resource mismatch.

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, no preconditions, no note on when validation is expected to fail or what to do instead. With no sibling tools the alternative-routing burden is lower, but the description still gives the agent nothing about when this tool is the right call.

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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