agentpay-vn
Server Quality Checklist
Latest release: v1.0.1
- Disambiguation5/5
Each tool has a distinct and clear purpose: creating a payment request, checking status, awaiting settlement, and listing recent payments. No two tools overlap in functionality, ensuring an agent can easily select the correct one.
Naming Consistency5/5All tool names follow a consistent verb_noun snake_case pattern (create_payment_request, check_payment, await_settlement, list_recent_payments). The naming is predictable and unambiguous.
Tool Count4/5Four tools is a reasonable number for a focused payment processing server. While it covers core operations, it is slightly lean; adding a cancel tool might improve completeness, but the count is appropriate.
Completeness4/5The tool set covers the main lifecycle of a payment request: create, check, await, and list. Missing an explicit cancel/expire function, but the await tool handles timeouts gracefully. Minor gap, but overall sufficient for typical workflows.
Average 4/5 across 4 of 4 tools scored. Lowest: 3.2/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 7 commits in the last 12 weeks
- Last stable release on
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
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How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must disclose behaviors. Only mentions 'quick reconciliation' hinting at performance but does not state read-only nature, idempotency, or other traits. Minimal disclosure beyond the tool's name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise: two sentences with no extraneous words. Front-loaded with purpose, then parameter details. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given an output schema exists, return values need not be described. However, lacks definition of 'recent' (timeframe), ordering, and filtering options. Adequate for a simple list but could provide more context for proper use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% coverage (no description in schema). Description adds meaning to the sole parameter: specifies range (1-50) and default (10), which is not in the schema (only type and default provided). Adds actionable constraints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states 'List the most recently settled transactions' - specific verb (list) and resource (recently settled transactions). Sibling tools like await_settlement, check_payment, and create_payment_request provide context that distinguishes this as a listing tool, though not explicitly called out in the description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus siblings. Does not mention prerequisites, typical scenarios, or when not to use. Implies quick reconciliation but no explicit comparisons.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description carries the burden. It discloses possible statuses (pending, settled, underpaid, expired, cancelled) and includes amount received. It advises when payment is considered complete.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences with no fluff. The first sentence front-loads the purpose. Every sentence adds value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple check with output schema (though not shown), the description explains the possible statuses and the condition for completeness. It covers the essential behavioral context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%. The single parameter 'payment_request_id' has no additional explanation in the description beyond its name and type. The description does not compensate for the low coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Check the current status of a payment request' with a specific verb and resource. It distinguishes from sibling tools like 'await_settlement' (waiting) and 'create_payment_request' (creation).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides clear context: 'Only treat a payment as complete when status=settled.' While it doesn't explicitly list when not to use or alternatives, the sibling tool names imply usage boundaries.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It explains return values and the metadata_note echo behavior, but does not disclose side effects, idempotency, or error conditions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with Args, Returns, and workflow steps. It is slightly verbose but every sentence serves a purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the richness of the output schema (implied returns) and the workflow instruction, the description is largely complete. It could include more detail on error handling or validation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description compensates fully. It explains each parameter with constraints (amount min, description example, ttl_minutes range, metadata_note usage) and adds meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description starts with 'Create a VietQR payment request,' which uses a specific verb and resource. It clearly distinguishes from sibling tools that settle, check, or list payments.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides a clear workflow: create the request, then send the URL to the payer and call await_settlement. It does not explicitly state when not to use this tool, but the context is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Describes polling interval (every 5s), timeout (max 600s), and handling of timeout expiry. Lacks mention of error states or invalid IDs, but main behavior is transparent. No annotations provided, so description carries full burden.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Concise and well-structured: purpose sentence, behavioral paragraph, guidance sentence, then argument descriptions. No redundant or missing information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Comprehensive for a polling tool: covers behavior, parameters, usage context, and timeout handling. Output schema exists, so return values need not be explained.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Adds significant meaning beyond the schema: explains `payment_request_id` as returned by `create_payment_request` and provides range and default for `timeout_seconds`. Schema itself has no property descriptions (0% coverage).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states the tool awaits settlement of a payment request via polling. Distinguishes from siblings like `check_payment` which likely only checks status without waiting.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit guidance: 'Call this after sending the QR to the payer' and advises on timeout behavior. Does not explicitly exclude use cases but context is sufficient.
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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