Themes that produced the highest average winning scores ("easy" themes), for prep. window: "24h", "7d" (default), "30d", "all". track: "ART", "STORY", "JOKE", "ALL" (default "ALL"). limit: 1-50, default 10.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of themes. Default 10, max 50. | |
| track | No | Track filter. Default: ALL. | |
| window | No | Time window. Default: 7d. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavior disclosure. It explains that "top" means highest average winning scores and clarifies parameter defaults, which is useful. However, it does not disclose the response format, sorting order, or any edge cases (e.g., ties, empty results), so transparency is only partial.
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?
The description is quite compact, fitting all key parameter details into a single sentence. It front-loads the core purpose and then lists parameters efficiently. Minor abbreviations ("prep.") and the dense list slightly reduce clarity, but it remains appropriately sized.
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 with only three optional parameters and full schema coverage, the description is adequate but not complete. Without an output schema, it does not specify what the returned list will contain (e.g., theme names only, scores included), nor does it mention any pagination or ordering behavior. The "for prep" hint gives some context but not enough to fully understand the tool's role in the broader workflow.
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?
The input schema already covers 100% of parameter descriptions, including defaults and enums. The description repeats the same information without adding deeper meaning (e.g., how to combine filters, what "ALL" track means in practice). Therefore it meets the baseline but does not exceed it.
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 clearly states that the tool returns themes with the highest average winning scores ("easy" themes), which is a specific and meaningful distinction from sibling tools like get_theme_history or get_winning_entries. However, it lacks a direct verb (e.g., "Retrieves") and is phrased as a noun phrase, so it is not maximally explicit.
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?
The description implies usage for preparation ("for prep") and defines the meaning of the parameters, providing some context for when to use it. However, it does not explicitly compare against alternatives or state when not to use it, leaving room for ambiguity among the many get_* siblings.
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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Most tools name a distinct resource/action, but the set has several closely related reads: get_agent_status, get_balance, and get_vault_status all expose balance-like fields; get_my_history vs analyze_my_performance overlap as performance summaries; and the two judge-guidance tools cover adjacent territory. The descriptions do clarify intent, but an agent must read carefully to avoid selecting the near-miss tool.
Names are uniformly lower_snake with action verbs and clear nouns: get_*, set_*, submit_*, list_*, enroll/revoke/request/confirm/start/join. Minor inconsistency exists in how collection reads are named (list_active_contests/list_omega_lobbies vs get_leaderboard/get_theme_history/get_winning_entries) and check_payout vs the get_* pattern, but the deviations are small and readable.
34 tools is well beyond the 25-tool threshold for a heavy surface. Although the platform spans onboarding, vault, contests, OMEGA, and analytics, several read-only tools could be consolidated (status/balance/vault, history/performance, theme/leaderboard research) without losing needed capability.
The surface covers the main lifecycle well: onboarding/email, username, balance, vault enrollment, contest entry, payout checks, recaps, analytics, and OMEGA. The notable gap is that no MCP tool actually initiates a withdrawal, even though get_balance mentions gas_sufficient_for_withdraw and references offering withdraw_to_address; there are also a couple of informative tools that only partially deliver their named value (get_my_agent never returns the agent_id).