own-words
Server Details
Turn notes into a study deck: answer each card in your own words, then compare.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- alexslkgit/own-words
- GitHub Stars
- 0
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or misselection between tools. create_deck has a single, clearly stated purpose (validate a deck and return a link).
The lone tool follows a clean, predictable verb_noun convention (create_deck). There is nothing to be inconsistent with, so naming is fully coherent.
A single tool is thin for a server that appears to manage study decks over their lifecycle. Only one operation is exposed, which is at the low extreme of the scale.
Creation and shareable-link generation are covered, but there is no way to read, list, update, or delete decks. If the domain is only about one-shot deck publishing this is workable, but it leaves notable gaps for a fuller lifecycle.
Available Tools
1 toolcreate_deckCInspect
Validate a study-deck JSON object and return the shareable own-words link with the card count.
| Name | Required | Description | Default |
|---|---|---|---|
| deck | Yes |
TDQS
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.
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.
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.
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.
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.
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.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
create_deck
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