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list_completed_mocks

Retrieve completed Medify UCAT mocks for your account, including section scores and cognitive totals. Filter by full mocks, mini-mocks, or both to inventory your test history.

Instructions

List completed Medify UCAT mocks for the signed-in account with section scores (VR/DM/QR, SJ when present) and cognitive totals. Use for inventory (“what have I sat?”) before trends or comparisons. Prefer analyze_* tools when you need ranked insights rather than a raw list. kind filters full mocks, mini-mocks, or all (default all). forceRefresh bypasses the local cache; includeRaw adds Medify payload fields for debugging. Read-only. Returns mocks plus cached/fetchedAt metadata. Empty list means no completed mocks or auth failed — call check_connection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoFilter by mock kind. full = full papers, mini = section mini-mocks, all = both. Default: all
includeRawNoIf true, include raw Medify payload fields on each mock (debug only). Default: false
forceRefreshNoIf true, re-fetch from Medify and ignore the local score cache. Default: false
Behavior5/5

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

No annotations, so description carries full burden. Discloses read-only nature, caching behavior (forceRefresh bypasses), and empty list implying auth failure. No contradictions.

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?

Every sentence adds value. Front-loaded with purpose, efficient with no fluff. Uses bullet-like formatting for readability.

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

Completeness5/5

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

No output schema, but description explains return values (section scores, cognitive totals, metadata). Handling of empty list and auth failure completes the picture for this list tool.

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

Parameters5/5

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

Schema coverage 100%; description adds context beyond schema: kind filters, forceRefresh purpose, includeRaw for debugging. Significantly aids parameter understanding.

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

Purpose5/5

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

Explicitly states 'list completed Medify UCAT mocks with section scores and cognitive totals'. Distinguishes from analyze_* tools by noting they provide ranked insights. Clear verb and resource.

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

Usage Guidelines5/5

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

Provides explicit use case: 'inventory before trends/comparisons'. Warns to prefer analyze_* for ranked insights. Explains empty list meaning and fallback action.

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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