micro_reset
Resets the insurance window for an SLA. Requires x402 payment ($0.001). Returns payment instructions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tokenId | Yes | SLA token ID |
Resets the insurance window for an SLA. Requires x402 payment ($0.001). Returns payment instructions.
| Name | Required | Description | Default |
|---|---|---|---|
| tokenId | Yes | SLA token ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses the payment requirement ($0.001 via x402) and states that it returns payment instructions, which gives some behavioral context. However, it does not explain what 'reset' does to the SLA state, whether it is destructive, or any side effects beyond the payment.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the primary action and followed by the payment requirement and return value. Every word earns its place with no redundancy or irrelevant detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simplicity of the tool (one parameter, no output schema), the description is largely complete: it states the action, the payment requirement, and the return value. However, it lacks details about the effects of resetting the insurance window, which might be important for an agent to use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, and the parameter 'tokenId' is described as 'SLA token ID'. The description adds minimal semantic value by referencing 'an SLA' but essentially repeats the schema. It does not provide any additional context about the token ID format or constraints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Resets the insurance window for an SLA') with a specific verb and resource. It does not explicitly differentiate from sibling tools, but the action itself is unambiguous and distinguishes it from related SLA tools like renew_sla or early_exit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context (resetting an SLA's insurance window) and mentions a payment requirement, but it provides no explicit guidance on when to use this tool versus alternatives such as renew_sla or claim_breach_credit. There are no exclusions or alternatives mentioned.
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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Many tools have similar purposes, such as the three simulation tools (simulate_action, simulate_paid_action, simulate_paid_action_batch) and the two payment wrappers (pay_then_call, insurelink_charge). While descriptions clarify distinctions, an agent may struggle to choose correctly without careful reading.
All tool names use lowercase snake_case with a consistent verb_noun or verb_noun_noun pattern (e.g., get_reputation, subscribe_attestation_freshness). No mixing of conventions or styles.
With 28 tools, the surface is larger than typical. While each tool serves a specific function, many could be consolidated (e.g., simulation tools, payment wrappers) to reduce cognitive load. The count exceeds the 25-tool threshold for 'too many'.
Core operations for reputation, attestation, SLA lifecycle, and payments are present. However, gaps exist: no tool to list individual SLAs or update an SLA beyond renewal/reset, and no dispute or pricing query tool. The set covers the domain but has notable missing operations.