Get LeadForm payment info
get_leadform_payment_infoReturns the LeadForm paid lead-qualification API URL, price, network and x402 payment protocol without charging.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_leadform_payment_infoReturns the LeadForm paid lead-qualification API URL, price, network and x402 payment protocol without charging.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It usefully discloses that the call does not incur a charge, a meaningful trait for a payment-related tool, but says nothing about authentication needs, rate limits, or side effects. It adds one good trait and leaves the rest unstated.
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?
A single efficient sentence that front-loads the verb and enumerates the returned fields with no filler. Every clause earns its place.
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?
There is no output schema, so enumerating returned fields (URL, price, network, x402 protocol) directly compensates. For a zero-parameter, side-effect-free lookup this is nearly sufficient, though the shape/format of the returned payment data is not described.
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?
The tool takes zero parameters, so there is no parameter semantics to explain; the baseline of 4 applies. No conflicting or missing parameter information exists.
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?
Names a specific verb (Returns) and enumerates the exact resources returned: API URL, price, network, and x402 payment protocol. It is obviously a metadata/introspection tool distinct from qualify_b2b_lead, though the description never explicitly contrasts itself with that sibling.
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 phrase 'without charging' implicitly signals the when: use this to inspect payment details before invoking the paid qualification flow. However, it never names the alternative (qualify_b2b_lead) or states an explicit precondition, leaving usage to inference.
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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