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aip_execute_with_budget

Run an AI task end-to-end with a hard spending cap you set. This is the primary AIP action: it resolves the best provider, runs a risk check, pre-deducts against your budget, executes the call, and settles on-chain via x402 — all in one step. You never overspend past max_total_usd, and settlement is automatic. Supports chat, image, video, speech, prompt optimization, web search, and knowledge search intents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
intentYesThe intent type
payloadYesThe actual request payload (e.g. {model, messages} for chat, {prompt, size} for images)
max_total_usdNoMaximum budget for this request in USD (hard cap)
preferred_paymentNoPayment method preferenceauto

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral disclosure burden, and it does well: it details the pipeline (resolve provider, risk check, pre-deduct budget, execute, settle via x402) and guarantees no overspending. It does not cover failure/refund behavior or account prerequisites, but it provides far more than a generic execution statement.

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?

The description is front-loaded with the core purpose, then adds a compact process explanation and supported intents. Every sentence contributes useful information, and there is no redundant filler or vague marketing language.

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?

For a financial execution tool with no annotations and no output schema, the description omits important operational details such as what the response contains, what happens on failure or insufficient balance, and whether a funded account or payment setup is required. The normal happy path is clear, but the surrounding context is incomplete.

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?

Schema coverage is 100%, so the schema already documents all four parameters. The description mostly restates the intent enum and the max_total_usd hard cap already present in the schema; it adds only slight color like 'pre-deducts against your budget' without giving new parameter-level syntax or constraints.

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?

Description uses a specific verb and resource: 'Run an AI task end-to-end' with a hard spending cap. It clearly positions this as 'the primary AIP action' that combines provider resolution, execution, and on-chain settlement, which distinguishes it from siblings like aip_resolve and aip_estimate_cost.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use this tool: when you want a complete, budget-capped AI execution in one step. It does not explicitly name alternatives or say 'use aip_estimate_cost instead when...', so it stops short of full when/when-not guidance.

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

A3.9/5.0
Disambiguation3/5

Most tools target distinct resources, but aip_estimate_cost and aip_resolve both provide pre-execution pricing, and chat overlaps with the chat intent inside aip_execute_with_budget. Descriptions clarify the differences reasonably well, but an agent could still pick the wrong one when estimating cost or sending a chat.

Naming Consistency4/5

Tool names mostly follow an imperative snake_case verb_noun pattern such as list_models, search_apis, and discover_agents, with AIP functions sharing an aip_ prefix. Minor deviations like 'chat' and 'aip_resolve' lacking object nouns are easy to predict and do not create confusion.

Tool Count5/5

With 9 tools, the set covers model listing, chat, AIP routing/execution, API discovery, and agent discovery without bloating. Each major workflow has a focused set of tools, and none feel unnecessary.

Completeness3/5

The AIP lifecycle is well covered — list intents, resolve, estimate cost, and execute with budget — and chat has list_models + chat. However, as an API Marketplace there is no direct call_api or invoke tool, and no publish/management surface, so search_apis and get_api_detail lead to an external action rather than completing the loop in-server.