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Submit External Wallet Payment

a9n9_research_submit_payment
Idempotent

Verify a separately broadcast Tempo mainnet push-mode payment and continue the quoted research job. Use the paymentChallenge and walletPayment returned by a9n9_research_quote, then provide the transaction hash, payer address, and same job_key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_keyYes
notify_emailNoOptional: email the completed report to this address from a9n9@agentmail.to.
payer_addressYes
transaction_hashYes
payment_challengeYesUnmodified paymentChallenge returned by a9n9_research_quote.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
resultNo
statusYes
quoteIdNo
createdAtNo
statusUrlNo
trackerCodeYes
progressStageYes
progressPercentYes
requestBodyHashNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations indicate idempotentHint=true and destructiveHint=false. The description adds behavioral context: the payment must be 'separately broadcast' before calling this tool, and it 'continues the quoted research job.' It also specifies the network (Tempo mainnet) and mode (push-mode). This goes beyond the annotations, though it does not detail failure modes or the exact verification process.

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 two sentences, front-loading the purpose and then specifying the inputs. It is efficient, but the mention of 'walletPayment' (which is not a parameter) adds an unnecessary confusing element. Otherwise, it is concise and to the point.

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?

Given the tool has 5 parameters (including a nested object), an output schema, and a complex flow (payment verification and job continuation), the description provides a reasonable overview but is not fully complete. It does not explain what happens if verification fails, how the output looks, or the exact role of 'walletPayment' (not in schema). The missing clarity on 'walletPayment' and the lack of detail on error states make it slightly incomplete.

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

Parameters4/5

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

Schema description coverage is 40%, with only notify_email and payment_challenge having descriptions. The tool description adds meaning for job_key, transaction_hash, and payer_address by stating they come from the quote and transaction. It also clarifies that payment_challenge must be the 'unmodified' value from the quote. However, the description mentions 'walletPayment' which is not a parameter in the schema, causing slight confusion. Overall, it adds value beyond the schema.

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 states the tool's purpose: 'Verify a separately broadcast Tempo mainnet push-mode payment and continue the quoted research job.' It specifies the verb (verify and continue), the resource (payment and research job), and distinguishes this tool from siblings like a9n9_research_quote (which provides the inputs) and a9n9_research_start (which initiates a job). The mention of 'push-mode payment' and 'Tempo mainnet' adds specificity.

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 explicit prerequisites: 'Use the paymentChallenge and walletPayment returned by a9n9_research_quote, then provide the transaction hash, payer address, and same job_key.' This tells the user exactly when to use this tool (after receiving a quote) and what inputs are needed. It does not include explicit 'when not to use' exclusions, but the context is clear enough that it should only be used after a quote and after broadcasting the payment.

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

A4.1/5.0
Disambiguation5/5

Each tool has a distinct role: quick_search is the free tier, while research_quote, research_start, research_status, and research_submit_payment form a clear paid workflow. No two tools could be plausibly confused.

Naming Consistency4/5

All tools share the a9n9_ prefix and snake_case convention. Minor inconsistency exists because quick_search breaks the research_* pattern used by the other four tools, but the verb/noun usage is otherwise predictable.

Tool Count5/5

Five tools is well-scoped for a research service: one free entry point and four lifecycle steps (quote, start, payment, status). Each tool serves a necessary and non-redundant function.

Completeness4/5

The core deep-research workflow is fully covered: free quick search, quote, paid start, payment submission, and status/result retrieval. Minor gaps like cancellation or job listing are absent but not essential to the primary purpose.

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