Skip to main content
Glama

mpp_smoke_test

Smoke-test the MPP payment plumbing end-to-end via this MCP server, for $0.01 USDC. Two-call flow: (1) call with no arguments to receive an MPP payment_challenge; (2) pay via MPP and call again with payment_credential set to the resulting Authorization header value (e.g. "Payment eyJ...") to receive {paid: true, timestamp, receipt_ref, payment_method}. Uses the exact same createPayToAddress + createMppHandler verification path as paid product tools (transcribe, summarize), so a green run here means real paid calls will work too. Stateless — no job is created, no database row written. Use this whenever you want to confirm a wallet, the MCP transport, the worker, and the production payment middleware are all healthy without paying a transcribe price. Cost: $0.01 USDC per attempt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payment_credentialNoMPP payment credential (full Authorization header value, e.g. "Payment eyJ...") obtained by paying the challenge returned from the first call. Include to verify payment and receive {paid: true}. Omit on the first call.

TDQS

A4.8/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden. It discloses key behavioral traits: statelessness ('no job is created, no database row written'), the $0.01 USDC cost per attempt, the two-call protocol with expected responses, and the relationship to paid product tools. This is comprehensive and exceeds what annotations would typically provide.

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 relatively long but each sentence contributes meaningful information: the flow, cost, statelessness, and use case. While it could be tightened, the structure logically moves from purpose to flow to benefits, making it effective despite its length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is complete for the tool's complexity: it covers the two-call flow, expected response format, cost, side effects (none), and when to use it. No output schema exists, but the description describes the response structure ('{paid: true, timestamp, receipt_ref, payment_method}') so the agent knows what to expect.

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?

The schema already has 100% coverage for the single parameter, so the baseline is 3. The description adds value by explaining the credential's role in the two-call flow, providing an example format ('Payment eyJ...'), and explicitly stating to omit it on the first call. This enriches the schema's description without redundancy.

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 this is a smoke test for MPP payment plumbing, with a specific verb ('smoke-test') and resource ('MPP payment plumbing via this MCP server'). It distinguishes itself from sibling paid tools by explicitly noting it uses the same verification path as transcribe/summarize but costs only $0.01 USDC and creates no job.

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

Usage Guidelines5/5

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

Explicit usage guidance is provided: 'Use this whenever you want to confirm a wallet, the MCP transport, the worker, and the production payment middleware are all healthy without paying a transcribe price.' It also explains the two-call flow, making it clear when and how to use it as an alternative to paid tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.4/5.0
Disambiguation4/5

Most tools target distinct tasks (transcribe vs. summarize vs. find_clips, extract_clip vs. extract_vertical_clip, create vs. trigger YouTube). Some overlap exists because summarize and find_clips both produce transcripts, and publish_to_youtube and trigger_youtube_publish are sequential steps that could be confused, but descriptions clarify the boundaries well.

Naming Consistency4/5

The majority follow a verb_noun pattern (complete_upload, extract_clip, find_clips, get_job_status), with a few deviations like the bare verbs 'summarize' and 'transcribe', and 'publish_to_youtube' using a preposition. The pattern is still predictable and readable overall.

Tool Count5/5

11 tools is a well-scoped number for a video/audio processing service covering transcription, summarization, clip extraction, YouTube publishing, and payment testing. Each tool has a clear place, and the count is within the ideal range.

Completeness5/5

The tool surface covers the full lifecycle: job creation (transcribe/summarize/find_clips), payment (mpp_smoke_test, payment challenge flows), upload (complete_upload), status polling (get_job_status), clip extraction (two variants), and YouTube publishing (create/publish/status). No critical gaps are apparent for the stated domain.

Resources