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Agentic Mandate Sandbox

agentic_mandate_sandbox
Read-onlyIdempotent

Simulate agent payment policies with spend caps, MCC allowlists, velocity throttles, and approval thresholds. Run synthetic transactions and export Policy Mandates, client-side with zero PII.

Instructions

Simulate agent payment policies for tokenized A2A corridors: set spend caps, MCC allowlists, velocity throttles, and approval thresholds; run synthetic transactions against the policy and export the result as a Policy Mandate. Browser-based, client-side only, zero PII. Renders the interactive AINumbers tool as a widget; inputs are applied via the AIN Bridge and the tool runs client-side (zero PII, zero network).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNoMap of tool input element IDs to values (see manifest input_schema). Applied via AIN Bridge prefill.
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, signaling safe simulation. The description adds valuable detail: 'Renders the interactive AINumbers tool as a widget; inputs are applied via the AIN Bridge and the tool runs client-side (zero PII, zero network).' This clarifies execution environment and data handling, going beyond annotations without contradiction.

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 two sentences: the first defines the core purpose and capabilities, the second explains execution mode and safety. Every sentence earns its place, with no redundant or vague phrasing. It is front-loaded and efficient.

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 the tool's complexity (multiple policy aspects simulated) and the absence of an output schema, the description covers the main concerns: what it does, how it runs (client-side, zero network), and what it produces (Policy Mandate). It does not detail the widget behavior or result interpretation, but for a sandbox tool with annotations, it is largely 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?

Schema description coverage is 100%, with the single parameter 'inputs' already documented as a map of IDs to values. The description repeats this and adds 'Applied via AIN Bridge prefill,' which provides minor extra context but does not fundamentally improve understanding beyond the schema. Baseline 3 is appropriate.

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 uses a specific verb ('simulate') and resource ('agent payment policies for tokenized A2A corridors'), listing concrete capabilities (spend caps, MCC allowlists, etc.) and outcomes (export Policy Mandate). It clearly distinguishes from sibling tools like 'build_google_ap2_mandate' or 'compare_agentic_payment_protocols' by focusing on simulation rather than construction or comparison.

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

Usage Guidelines3/5

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

The description implies usage context ('browser-based, client-side only, zero PII') but does not explicitly state when to use this tool versus alternatives or when not to use it. It lacks mention of prerequisites or exclusions, leaving the agent to infer fit from sibling names.

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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