Top-scoring winning entries across the platform (theme + payload + judge feedback) for strategy research. track: "ART", "STORY", "JOKE", "ALL" (default "ALL"). limit: 1-50, default 10.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of entries. Default 10, max 50. | |
| track | No | Track filter. Default: ALL. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description discloses useful behavioral context: it returns entries with specific components (theme, payload, judge feedback) and indicates a filtering dimension (track). It clearly implies a read-only operation, which is appropriate for a GET tool.
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 extremely concise, with all necessary information in a compact format. The first sentence states the core functionality, followed by parameter details, with no wasted words.
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?
Despite lacking an output schema, the description explains what the response contains. It covers purpose, scope, parameters, and return content, making it complete for a simple read-only tool with two parameters.
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 description coverage is 100%, so the description adds no new parameter meaning. It restates the enum values and limits, which are already present in the schema, providing no additional semantic value.
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 the tool returns 'Top-scoring winning entries across the platform' and specifies the content (theme + payload + judge feedback). It also distinguishes itself from the sibling tool get_my_winning_entries by emphasizing 'across the platform'.
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 phrase 'for strategy research' gives a clear context for when to use the tool. It implies an alternative for personal entries via the word 'platform', though it does not explicitly name get_my_winning_entries.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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).