Infini Payment MCP Server

Server Quality Checklist

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Latest release: v1.0.0
Disambiguation5/5
Each tool has a clearly distinct purpose with no overlap: create_payment_order for creation, get_payment_order for retrieval, list_payment_orders for listing, reissue_order_token for token renewal, verify_webhook_signature for security, get_supported_currencies for currency info, and withdraw_funds for withdrawals. The descriptions reinforce these unique functions, eliminating any ambiguity.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern using snake_case, such as create_payment_order, get_payment_order, list_payment_orders, and verify_webhook_signature. This uniformity makes the tool set predictable and easy to understand, with no deviations in naming conventions.
Tool Count5/5
With 7 tools, the server is well-scoped for payment processing, covering core operations like order management, currency support, webhook verification, and fund withdrawals. Each tool serves a specific, necessary function without being excessive or insufficient for the domain.
Completeness4/5
The tool set provides strong coverage for payment order lifecycle (create, get, list, reissue) and essential utilities (currency info, webhook verification, withdrawals). A minor gap exists in lacking an update or cancel operation for orders, but agents can work around this by creating new orders or using existing tools effectively.
Average 3.1/5 across 7 of 7 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
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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?
With no annotations provided, the description carries full burden for behavioral disclosure. It states it's a read operation ('Get') but doesn't mention authentication requirements, rate limits, error conditions, or what happens with invalid order IDs. The description lacks critical behavioral context needed for safe and effective tool invocation.
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 appropriately concise with two sentences that directly address purpose and parameters. The 'Args:' section is structured but could be more integrated. While efficient, the second sentence could be merged with the first for better flow without losing clarity.
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's low complexity (single parameter, no nested objects) and the presence of an output schema, the description is minimally adequate. However, with no annotations and incomplete parameter documentation, it leaves gaps in understanding behavioral traits and error handling. The output schema likely covers return values, but the description doesn't reference this or provide usage context.
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?
The description adds minimal parameter semantics beyond what the input schema provides. It explains that 'order_id' is 'The order ID to query,' which clarifies the parameter's purpose but doesn't specify format, validation rules, or examples. With 0% schema description coverage and only one parameter, this provides basic context but doesn't fully compensate for the schema's lack of descriptions.
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 clearly states the tool's purpose with a specific verb ('Get') and resource ('payment order details'), making it immediately understandable. It distinguishes from siblings like 'list_payment_orders' by specifying retrieval by order ID rather than listing multiple orders. However, it doesn't explicitly differentiate from other read operations like 'verify_webhook_signature' beyond the resource focus.
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?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to choose 'get_payment_order' over 'list_payment_orders' for retrieving order information, nor does it specify prerequisites like needing a valid order ID. Usage is implied by the parameter name but not explicitly stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'optional filters' and pagination, but doesn't describe what the tool returns (though output schema exists), whether it's read-only, authentication requirements, rate limits, error conditions, or what happens when filters return no results. The description is minimal and lacks important behavioral context.
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 appropriately concise with a clear purpose statement followed by a structured parameter list. Every sentence earns its place, though the parameter explanations could be slightly more informative. The structure is front-loaded with the main purpose first.
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 4 parameters with 0% schema description coverage but an output schema exists, the description provides basic parameter semantics but lacks behavioral context. For a list/filter tool with pagination, it should ideally mention typical response structure, authentication needs, or error handling. The existence of an output schema reduces the need to describe return values, but other gaps remain.
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?
The description includes an 'Args' section that lists all 4 parameters with brief explanations, adding meaning beyond the input schema (which has 0% description coverage). It clarifies that currency filters to 'USDC/USDT', status filters by 'order status', and page/page_size control pagination. However, it doesn't explain valid status values or parameter constraints beyond defaults.
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 clearly states the tool's purpose: 'List payment orders with optional filters.' This specifies the verb ('list') and resource ('payment orders'), and mentions filtering capability. However, it doesn't explicitly differentiate from sibling tools like 'get_payment_order' (singular vs. plural list).
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?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'get_payment_order' for retrieving a single order or 'create_payment_order' for creating new orders. There's no context about prerequisites, typical use cases, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Reissue') but doesn't explain what 'reissue' entails—whether it invalidates previous tokens, requires specific permissions, has rate limits, or what the new token is used for. This is a significant gap for a mutation tool with zero annotation coverage.
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 front-loaded with the core purpose in the first sentence, followed by a brief parameter explanation. It avoids unnecessary fluff, but the parameter section could be more integrated (e.g., 'Reissue checkout URL token for an existing order using its order_id'). Overall, it's efficient but not perfectly structured.
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's complexity (a mutation with one parameter) and the presence of an output schema (which handles return values), the description is minimally adequate. However, it lacks critical context like behavioral traits (e.g., token invalidation, auth needs) and usage guidelines, making it incomplete for safe and effective use by an agent.
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?
The schema description coverage is 0%, so the description must compensate. It adds the meaning of 'order_id' ('The order ID to reissue token for'), which clarifies the parameter's role. However, it doesn't provide format details (e.g., UUID, numeric ID) or constraints, leaving some ambiguity. With one parameter and partial semantic clarification, a baseline 3 is appropriate.
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 clearly states the action ('Reissue checkout URL token') and the target resource ('for an existing order'), making the purpose immediately understandable. However, it doesn't differentiate this tool from its siblings (like create_payment_order or get_payment_order), which would require 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 Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., that the order must exist), when reissuing is appropriate (e.g., after token expiration), or what happens if the token is already valid. This leaves the agent with insufficient context for decision-making.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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 burden of behavioral disclosure. It states the tool creates a payment order, implying a write operation, but doesn't describe what happens upon creation (e.g., returns an order ID, triggers a payment flow), error conditions, rate limits, or authentication requirements. This leaves significant gaps for an agent to understand the tool's behavior.
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 appropriately sized and front-loaded, starting with the core purpose followed by a structured list of parameters. Each parameter explanation is brief and relevant. There's no wasted text, though the formatting as a simple list could be slightly improved for readability.
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 complexity (8 parameters, no annotations, but with an output schema), the description is moderately complete. It covers the purpose and parameters well, but lacks behavioral details like error handling or authentication. The presence of an output schema means return values don't need explanation, but other contextual gaps remain, making it adequate but not fully comprehensive.
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 0%, so the description must compensate. It provides brief explanations for all 8 parameters (e.g., 'Unique request ID (UUID recommended)', 'Order amount (e.g., "100.00")'), adding meaningful context beyond the schema's titles. However, it doesn't cover details like format constraints (e.g., URL validation for success_url) or the implications of null defaults, keeping it from a perfect score.
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 clearly states the tool creates a new payment order in Infini, providing a specific verb ('Create') and resource ('payment order'). It distinguishes from sibling tools like 'get_payment_order' or 'list_payment_orders' by focusing on creation rather than retrieval. However, it doesn't explicitly differentiate from other creation-like tools like 'reissue_order_token' or 'withdraw_funds' beyond the name.
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?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., authentication), when not to use it, or how it relates to sibling tools like 'reissue_order_token' or 'withdraw_funds'. The only implied usage is for creating payment orders, but no contextual boundaries are defined.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('withdraw') which implies a financial transaction, but doesn't mention critical behavioral aspects like authentication requirements, transaction fees, confirmation times, irreversible nature of withdrawals, rate limits, or error conditions. This leaves significant gaps for a tool handling financial operations.
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?
The description is extremely efficient with zero wasted words. The purpose is stated in one clear sentence, followed by a well-structured parameter list. Every element serves a purpose, and the information is front-loaded appropriately.
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 that this is a financial transaction tool with no annotations and 5 parameters, the description is minimally adequate. The presence of an output schema (though not shown) means the description doesn't need to explain return values. However, for a tool performing irreversible financial withdrawals, more behavioral context would be expected to reach higher completeness.
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 description explicitly lists all 5 parameters with brief explanations, adding significant value beyond the schema which has 0% description coverage. While it doesn't provide detailed format requirements or examples for parameters like 'chain' or 'token_type', it does give basic semantic meaning to each parameter that the schema lacks.
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 clearly states the action ('withdraw funds') and target ('to external wallet'), providing a specific verb+resource combination. However, it doesn't differentiate this tool from potential sibling tools like 'create_payment_order' that might also involve fund transfers, so it doesn't reach the highest score.
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?
The description provides no guidance on when to use this tool versus alternatives like 'create_payment_order' or 'list_payment_orders'. There's no mention of prerequisites, constraints, or appropriate contexts for withdrawal operations versus other payment-related actions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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 burden. It mentions 'Get list' but doesn't disclose behavioral traits such as whether this is a read-only operation, potential rate limits, authentication needs, or what the output looks like. The description is minimal and adds little beyond the basic action.
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?
The description is a single, efficient sentence with no wasted words, clearly front-loading the purpose. It's appropriately sized for a simple tool with no parameters.
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 no parameters, 100% schema coverage, and an output schema exists, the description is minimally adequate. However, as a tool with no annotations, it lacks details on behavior and context, making it incomplete for guiding an agent fully without relying on the output schema.
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 tool has 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate, earning a baseline score of 4 for not introducing confusion or redundancy.
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 clearly states the verb 'Get' and the resource 'list of all supported cryptocurrencies', specifying its purpose for 'creating orders'. However, it doesn't explicitly differentiate from sibling tools like 'create_payment_order' or 'list_payment_orders', which involve orders rather than currencies.
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 implies usage context ('for creating orders'), suggesting when this tool might be needed, but doesn't provide explicit guidance on when to use it versus alternatives or any exclusions. It lacks details on prerequisites or comparisons to sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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 burden of behavioral disclosure. It describes what the tool does but lacks details on behavioral traits like error handling, performance, or side effects. For a verification tool with security implications, this is a significant gap in transparency.
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?
The description is appropriately sized and front-loaded, starting with the tool's purpose followed by a clear, bullet-like list of parameters with brief explanations. Every sentence adds value without redundancy, making it efficient and easy to parse.
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 that there is an output schema, the description doesn't need to explain return values. However, for a verification tool with no annotations and security relevance, it lacks context on error cases or operational details. The parameter explanations are helpful, but overall completeness is moderate due to missing behavioral insights.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds substantial meaning beyond the input schema, which has 0% schema description coverage. It explains each parameter's purpose and provides a default behavior for 'webhook_secret' ('uses INFINI_SECRET_KEY if not provided'), which is not evident from the schema alone. This compensates fully for the schema's lack of descriptions.
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 clearly states the tool's purpose: 'Verify webhook signature from Infini.' It specifies the verb ('verify') and resource ('webhook signature'), making the function unambiguous. However, it doesn't explicitly differentiate from sibling tools, which are all payment-related, so this stands alone in purpose.
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?
The description provides no guidance on when to use this tool versus alternatives. It lists parameters but doesn't explain the context, prerequisites, or scenarios for invocation. Without such information, users must infer usage from the tool name and parameters alone.
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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