report_bug
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| context | No | ||
| message | Yes | ||
| conversation | No | [] |
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
| Name | Required | Description | Default |
|---|---|---|---|
| context | No | ||
| message | Yes | ||
| conversation | No | [] |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate idempotentHint=true and destructiveHint=false. The description adds behavioral context by requesting conversation data for reproduction, which is valuable beyond the annotations. However, it does not elaborate on other behavioral traits like response handling or potential side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with two sentences. The first sentence states the purpose, and the second provides essential usage guidance. No unnecessary words or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity and the presence of annotations, the description covers the core purpose and key usage. However, it lacks full parameter documentation (especially for 'context' and 'message') and does not describe the return value or error handling, leaving some gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
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 for parameter meaning. It clarifies the 'conversation' parameter as an array of recent messages, but does not explain 'context' or 'message'. This partial compensation justifies a score of 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Report a bug, missing feature, or send feedback.' It uses a specific verb ('Report') and identifies multiple resources, effectively distinguishing it from sibling tools that are primarily related to Open Finance operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit guidance on how to use the tool: 'Include the conversation array with recent messages for reproduction.' This gives clear context for usage. However, it does not explicitly exclude any scenarios or compare to alternative tools, but no sibling tool serves a similar purpose.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most openfinance_* tools target a distinct resource and action, and the descriptions carefully separate overlapping endpoints like openfinance_list_transactions vs openfinance_list_transactions_by_item and openfinance_get_credit_card_bill vs openfinance_list_credit_card_bills. The main ambiguity risk is the broad marketplace mega-tool, but its many sub-capabilities are explicitly enumerated.
Tool names consistently use snake_case with a strong openfinance_ prefix and verb-led patterns like list_, get_, update_, disconnect_, and force_sync. Minor deviations exist: openfinance_provider_status lacks a verb, openfinance_get_accounts_detail is awkwardly pluralized, and the platform tools (connect, marketplace, authenticate) break from the prefix pattern.
At 25 tools, the server sits at the heavy end of the appropriate range. The Open Finance domain is complex enough to justify most entries, but the inclusion of platform-level tools like marketplace, authenticate, connect, and toolkit_info makes the overall surface feel denser and less focused than a pure banking-data server.
The set provides strong coverage of the Open Finance lifecycle: connections, sync/status, accounts, balances, transactions, credit card bills, loans, investments, category management, and provider health. Minor gaps exist, such as no dedicated investment-detail-by-id tool and no way to set custom connection labels, but these are workable and do not create critical dead ends.