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submit_action

Submit actions to ARGENTUM for community verification. Record contributions like HELP, BUILD, or TEACH with proof to establish on-chain reputation and karma.

Instructions

Submit a good action to ARGENTUM for community verification.

entity_id: your unique identifier (e.g. GitHub username)
entity_name: display name
entity_type: 'human' or 'agent'
action_type: HELP | BUILD | TEACH | FIX | WITNESS | CONNECT | RELEASE
description: what you did
proof: URL to evidence (GitHub PR, commit, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idYes
entity_nameYes
entity_typeYes
action_typeYes
descriptionYes
proofNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'community verification' indicating the action enters a pending state, but lacks details on side effects, idempotency, whether submissions can be edited/deleted, or what triggers the verification process.

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 well-structured with the purpose statement front-loaded, followed by the parameter documentation. Given the necessity of documenting six parameters due to schema deficiencies, the information density is appropriate, though the inline list format slightly reduces scannability compared to structured schema descriptions.

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?

Considering the 0% schema coverage and lack of annotations, the description successfully documents all input parameters. Since an output schema exists, the description appropriately omits return value details. It could be improved by briefly explaining what ARGENTUM represents or the consequences of submission, but it is functionally complete.

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?

The schema has 0% description coverage (only titles), but the description comprehensively compensates by documenting all 6 parameters inline with semantic meaning: entity_id includes examples (GitHub username), entity_type specifies allowed values ('human' or 'agent'), action_type lists the complete enum (HELP | BUILD | etc.), and proof provides format examples (URL to GitHub PR).

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?

The description clearly states the specific verb (submit) and resource (action to ARGENTUM) with scope (for community verification). It implicitly distinguishes from read-only siblings like get_karma and get_leaderboard, though it does not explicitly contrast with attest_action which could confuse users about the verification workflow.

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?

The description provides no guidance on when to use this tool versus siblings, particularly attest_action which likely participates in the same workflow. There are no prerequisites mentioned, no explanation of the relationship between submitting and attesting, and no warnings about duplicate submissions or validation requirements.

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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