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refresh_awards

Fetch official Apple Design Awards and Google Play 2025 app awards to ground mobile design research. Store award metadata and provider/year filters without screen libraries.

Instructions

Fetch official Apple Design Awards and/or the dated Google Play Best of 2025 smartphone-app awards. Stores metadata, not screen libraries.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "refresh_awards"
  }
}

Input Schema

NameRequiredDescriptionDefault
yearNo
providerNoall

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare non-read-only, open-world, non-idempotent behavior; the description adds the important detail that persistence is limited to metadata rather than screen libraries. It does not explain what happens to previously stored award data on re-run, nor mention network/rate-limit characteristics that openWorldHint implies.

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?

Two tight sentences, front-loaded with the action and resources, followed by a single useful constraint. Nothing redundant.

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?

With no output schema and no parameter descriptions, the description must carry more weight than it does: it omits the return shape and re-fetch/overwrite behavior. It is complete enough to identify the tool but not to predict the effect of a second call.

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 description coverage is 0% for both parameters. The description only obliquely implies the provider enum ('Apple ... and/or Google') and never explains what the 'year' integer controls or that it defaults to all providers; the year range in the schema (2000-2100) is not reconciled with the 2025-only framing.

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?

Clear specific verb ('Fetch') and resources (Apple Design Awards, Google Play Best of 2025 awards), plus a scope note that only metadata is stored. No sibling overlap to disambiguate against, though the name 'refresh_awards' suggests cache-refresh semantics that the description recasts as a fetch-and-store operation.

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 statement of when to call this versus anything else, no prerequisites (network/credentials), no guidance on repeat calls. The 'and/or' hints that provider selection is optional, but nothing tells the agent what to expect on a second invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.