Skip to main content
Glama

star365 Commerce

Server Details

Buy a star365 subscription with USDT stablecoin: quote, pay, activate. No human in the loop.

If you are the author of this connector, you can claim ownership with GitHub, an HTTP challenge, or a DNS record. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

TDQS

B3.2/5.0

Scored across 3 tools

Disambiguation5/5

The three tools target clearly different stages of a purchase flow: price lookup (quote), payment initiation (intent), and payment verification (status). There is no overlap; an agent can unambiguously pick the right tool for each step.

Naming Consistency5/5

All three tools use the same purchase_<noun> pattern, clean snake_case, with no deviation in verb style or casing. Fully predictable and readable as a set.

Tool Count4/5

Three tools map neatly onto the checkout lifecycle (quote -> intent -> status), so each earns its place. It is on the thin side for a commerce server, but the scope of an anonymous pay-by-USDT flow is narrow enough to justify it.

Completeness3/5

The core payment path is covered, but there is no way to enumerate or list available plans, which quote/intent implicitly require, and no cancel, refund, or subscription-management operations. Agents can work around the plan gap only if a plan ID is supplied externally, leaving notable dead ends.

Available Tools

3 tools
purchase_intentBInspect

Open a payment for a plan. Returns a unique USDT amount and address; send that exact amount and the subscription starts by itself.

ParametersJSON Schema
NameRequiredDescriptionDefault
emailYes
agent_idYes
plan_codeYes
user_confirmedYestrue only after the person you act for has seen https://star365.site/agent-privacy

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does add real value: it discloses the return (a unique USDT amount + address) and the auto-activation behavior on exact payment. It omits key behavioral facts such as whether the quoted amount expires, idempotency/retry behavior, or what happens if the wrong amount is sent.

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

Conciseness5/5

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

Two tight sentences, front-loaded with the action and immediately followed by the outcome. Every clause earns its place with no filler.

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?

For a no-annotation, no-output-schema payment-initiation tool, the return value is covered, but the description never mentions the human-confirmation requirement baked into the required user_confirmed flag, nor amount expiry or failure modes. It is adequate but leaves meaningful gaps for a tool handling payment.

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?

All 4 parameters are required and schema description coverage is only 25% (only user_confirmed is described). The description explains nothing about plan_code, email, or agent_id, so it fails to compensate for the coverage gap on a tool where every input is mandatory.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a concrete verb+resource ('Open a payment for a plan') and even describes the resulting effect, which is more than a name restatement. It doesn't explicitly distinguish itself from purchase_quote or purchase_status, so it falls short of a 5.

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?

Usage is implied by the flow ('send that exact amount and the subscription starts by itself'), which tells the agent this is the initiating step of a payment sequence. There is no explicit when-to-use versus purchase_quote/purchase_status guidance or any stated prerequisite beyond what the schema forces.

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

purchase_quoteAInspect

Price and contents of one star365 plan, in USDT. Read-only, no account needed.

ParametersJSON Schema
NameRequiredDescriptionDefault
plan_codeYese.g. voice.pro

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden, and it does disclose two important traits: read-only and no authentication required. It omits other relevant behavior for a quote-style tool, such as whether the quoted price is locked or expires, so the disclosure is only partial.

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

Conciseness5/5

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

Two short sentences, zero filler, with the core purpose front-loaded before the caller constraints. Nothing in it is wasted or repeated from the schema.

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

Completeness4/5

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

For a one-parameter, read-only tool with no output schema, the description adequately conveys both the return content (price and contents) and the currency (USDT). Minor gap: it does not mention quote validity or expiry, which matters for a pricing tool.

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

Parameters3/5

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

Schema coverage is 100% and the schema already gives an example ('voice.pro') for plan_code, so the description adds little parameter-level detail. Describing the return as 'price and contents ... in USDT' implies what the plan_code resolves to, but nothing beyond the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource ('one star365 plan') and what is returned about it ('price and contents'), which maps cleanly onto the quote semantics of the tool name. It does not explicitly distinguish itself from purchase_intent or purchase_status, so the agent must infer the division of labor from the names alone.

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?

'Read-only, no account needed' tells the agent it can call this freely without auth, which is useful invocation guidance. However, it never states when to use this versus purchase_intent (e.g. call quote before creating an intent), leaving the sequencing to inference.

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

purchase_statusCInspect

Has this payment arrived yet?

ParametersJSON Schema
NameRequiredDescriptionDefault
intent_idYes

TDQS

C2.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: whether the call is read-only (implied but unstated), whether 'arrived' means settled/authorized/pending, latency or polling behavior, or what a negative result looks like. Only the faintest read-only implication is conveyed.

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

Conciseness2/5

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

It is short, but the brevity reflects under-specification rather than conciseness — the single sentence is a rhetorical question that omits the operation name, the resource, and any scoping detail. Front-loading is moot when there is so little content.

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

Completeness1/5

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

For a tool with an unannotated mutation/query profile, one undocumented parameter, no output schema, and no sibling differentiation, the description leaves an agent unable to confirm what is checked or what a result means. It is essentially incomplete.

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?

The single required parameter intent_id has 0% schema description coverage, and the description never mentions it or explains its meaning or format. With a low-coverage schema the description should compensate, and it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The question 'Has this payment arrived yet?' implies a payment-arrival status check for a purchase intent, which is a discernible purpose. However, it never states the operation as a verb+resource (e.g. 'check payment status'), and it gives no differentiation from siblings purchase_intent and purchase_quote.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to call this versus purchase_intent or purchase_quote, nor any stated preconditions. At best the question form weakly implies 'use this to poll whether payment has settled,' which is not enough to route an agent reliably.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 3 tool updates
    • First observedpurchase_intent
    • First observedpurchase_quote
    • First observedpurchase_status

Related MCP Connectors

Related MCP Servers

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources