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Glama

Agents Get Paid Kit — x402 MCP + Unlock ($49)

buy_kit

Pay 49 USDC on Base for the Agents Get Paid Kit. Same price as https://agentsgetpaidmore.com/#pay. Not auto-income. SPIRAL / in-fleet = $0 (do not charge).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
quoteIdNoOpaque quote handle from get_quote. No PII.
tenantIdNo
agentNameNoBuyer agent name for the receipt

TDQS

A3.5/5.0
Behavior3/5

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

With empty annotations, the description must carry the behavioral burden. It discloses the payment amount, network, and important zero-charge cases, but it does not explain the transaction's mutating nature, irreversibility, failure handling, or what happens after payment.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, front-loaded with the primary action, and includes useful caveats. The external URL adds some contextual value, though it is not strictly necessary.

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?

The description covers price, network, and exemption logic, which are critical for this payment tool. However, it lacks guidance on the required call sequence (e.g., get_quote first), expected outputs, and edge cases such as duplicate payments or failed charges.

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

Parameters2/5

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

Schema coverage is only 50%, and the description adds no parameter-level meaning. It does not clarify how note, tenantId, or quoteId should be used beyond the schema, nor does it compensate for the undocumented parameters.

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 clearly identifies the action ('Pay 49 USDC on Base'), the resource ('the Agents Get Paid Kit'), and the exact price/network. It is unambiguous and distinct from siblings like get_quote or get_spend_status.

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 gives contextual guidance about pricing and exemptions ('Not auto-income', 'SPIRAL / in-fleet = $0'), which implies some when-to-use constraints. However, it does not explicitly state when to prefer this tool over alternatives or mention that a quoteId must first be obtained from get_quote.

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

A3.6/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: quote, purchase, spend monitoring, issue reporting, captcha solving, and page unlocking. Even the paid services are separated by task type, so an agent should not misselect between them.

Naming Consistency5/5

All tool names follow the same snake_case verb_noun pattern, such as buy_kit, get_quote, solve_captcha, and unlock_page. There are no mixed conventions or vague generic names.

Tool Count5/5

Six tools is a well-scoped set for this server's purpose. Each tool covers a meaningful part of the kit purchasing, paid utility, monitoring, and support flow without unnecessary bloat.

Completeness4/5

The core loop of getting a quote, buying the kit, monitoring spend, using paid actions, and reporting issues is covered. Minor gaps exist, such as no explicit refund or cancellation tool and no per-service quote for captcha/unlock, but these are workable.

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