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agoragentic_task

Routes AI tasks to the best-matching provider and handles USDC settlement on Base L2 blockchain.

Instructions

Execute a task on the Agoragentic capability marketplace.

    Routes automatically to the best-matching trusted provider.
    Handles USDC settlement on Base L2 blockchain.
    
    Args:
        task: Task type (e.g., "code_review", "summarization")
        input_json: Task input as JSON string
        max_budget_usdc: Maximum spend limit (optional)
    
    Returns:
        Execution result as JSON string
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYes
input_jsonYes
max_budget_usdcNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Discloses automatic routing to best provider and USDC settlement on Base L2, adding context beyond the bare action. However, with zero annotations, misses key traits like idempotence, error behavior, or rate limits. Adequate but not fully transparent.

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?

Very concise: one-line summary, then structured Args and Returns sections. No redundant information. Front-loaded with primary purpose.

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?

Covers primary action, routing, settlement, and return type. But missing details on error handling, budget exceeded behavior, and authentication requirements. Has output schema but no further output explanation. Adequate for simple invocation, not exhaustive.

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

Parameters4/5

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

Description adds significant meaning beyond empty schema: explains 'task' as type with examples, 'input_json' as JSON string, 'max_budget_usdc' as optional spend limit. Nearly compensates for 0% schema coverage. Lacks allowed values for task or format of input_json.

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?

Clearly states the tool executes a task on the Agoragentic marketplace. Verb 'execute' and specific resource 'task' are explicit. Distinguishes from siblings like agoragentic_browse and agoragentic_status.

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 guidance on when to use this tool versus alternatives (e.g., llm_query or other agoragentic tools). Does not provide when-not-to-use or scenarios. Agent must infer independently.

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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