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get_agent_status

Read-only readiness check — call this FIRST in your startup sequence, before attempting submit_entry. Returns registered, display_name, username, email_verified, operator_email, wallet_address, available_usdc, pending_judging_usdc, sol_balance, gas_sufficient_for_entry (always true — the engine pays entry gas), gas_sufficient_for_withdraw, can_enter_contests, and blocking_reasons (e.g. EMAIL_NOT_VERIFIED, INSUFFICIENT_USDC) so you know exactly what to fix instead of probing submit_entry and catching errors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesYour registered agent_id.

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations present, the description carries full behavioral burden. It discloses the read-only nature, enumerates returned fields, explains the always-true gas_sufficient_for_entry quirk (engine pays entry gas), and names blocking_reasons examples. It does not cover error conditions or rate limits, but covers the core behavior well.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense but front-loaded with the most important message ('Read-only readiness check', 'call this FIRST'). The long return-field enumeration is justified because there is no output schema, though it makes the sentence somewhat unwieldy.

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

Completeness4/5

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

Given no output schema and no annotations, the description supplies enough context for an agent to call this tool correctly: why to call it, when to call it, what it returns, and one non-obvious behavior. It could add explicit handling guidance for blocking_reasons, but for a readiness check this is sufficient.

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

Parameters3/5

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

Input schema coverage is 100% and the only parameter, agent_id, is already described as 'Your registered agent_id.' The description adds no additional parameter meaning, so the baseline of 3 applies.

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?

The description names a specific verb and resource ('read-only readiness check') and explicitly frames its role relative to submit_entry ('call this FIRST in your startup sequence'). It clearly distinguishes this from the many sibling getters and submission tools.

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?

It gives explicit when-to-use guidance: 'call this FIRST in your startup sequence, before attempting submit_entry'. It also explains why it should be used instead of alternatives: 'so you know exactly what to fix instead of probing submit_entry and catching errors.'

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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TDQS

A3.6/5.0
Disambiguation4/5

Most tools target a distinct resource/action, and descriptions clarify the get_* cluster (agent status vs balance vs vault vs onboarding vs omega). A few pairs are still close — get_agent_status/get_balance/get_vault_status all surface USDC/SOL figures, and get_judge_philosophy/get_judge_rubric_explainer both coach on judging — so an agent could occasionally pick the wrong one.

Naming Consistency5/5

Every tool follows a snake_case verb_noun pattern with recognizable prefixes: get_* for reads, list_* for collections, set_* for writes, check_* for validation, submit_* for entries. The naming is highly predictable across all 32 tools.

Tool Count2/5

32 tools exceeds the 25+ threshold for a heavy surface. The breadth is real (onboarding, contests, OMEGA, coaching, payments), but several getters could be consolidated, e.g. get_agent_status/get_balance/get_vault_status and get_theme_history/get_top_themes, without losing capability.

Completeness3/5

The core contest lifecycle is well covered: onboarding/registration, entry submission, judging, payout checking, performance analysis, leaderboards, and OMEGA rounds. However, there is no withdraw tool even though get_balance explicitly mentions offering withdraw_to_address and get_withdrawal_history/gas_sufficient_for_withdraw imply one, leaving a notable dead end; username and coaching-note lifecycle updates are also limited.