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?
The description lacks behavioral disclosure beyond the obvious write operation. Annotations set idempotentHint=true, which contradicts the implied non-idempotent nature of reporting a bug (multiple reports create multiple entries). No discussion of side effects, permissions, or response behavior.
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, consisting of two sentences. It front-loads the purpose and then gives specific guidance. No unnecessary words.
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 low complexity (3 parameters, no output schema), the description is minimally adequate. However, it does not cover potential contradictions (idempotentHint) or provide enough detail for the agent to confidently invoke the tool (e.g., format of conversation, expected response).
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. It explains that 'conversation' should contain recent messages for reproduction, giving it meaning. However, 'message' and 'context' are not described beyond their names, leaving the agent to infer usage from the tool's purpose.
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: reporting a bug, missing feature, or sending feedback. It specifies to include a conversation array, which distinguishes it from sibling tools that are primarily finance-related and do not involve feedback.
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 explicitly says when to use this tool (for bugs, features, feedback) and implies the need to include a conversation array. However, it does not mention when not to use it or provide alternatives, but the sibling set makes the context clear.
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 tools map clearly to a distinct openfinance resource or action (accounts, transactions, bills, investments, loans, connections, provider health), and the platform utilities are a separate family. The only realistically confusable pairs are openfinance_list_transactions vs openfinance_list_transactions_by_item and openfinance_list_accounts vs openfinance_get_accounts_detail, but the descriptions draw sharp boundaries between them.
The 19 openfinance_* tools follow a strong openfinance_<verb>_<noun> convention, with only minor exceptions like openfinance_provider_status and openfinance_list_transactions_by_item. The six platform tools mix bare verbs (authenticate, connect), nouns (marketplace, toolkit_info), and verb_noun (report_bug, show_version), but they are clearly a separate utility layer.
25 tools sits at the top of the 'feels heavy' band. The number is defensible for a full Open Finance data product plus platform management tools, but an agent is exposed to a lot of surface area, and the same server mixes a banking-data adapter with a marketplace/utility layer.
The openfinance surface covers the full lifecycle: search/connect/reconnect/disconnect banks, force-sync, item status, provider incidents, accounts, balances, transactions per account and per connection, credit-card bills with paid-status derivation, investments and investment transactions, loans, loan detail, and transaction categorization. Platform tools cover auth, connection status, toolkit state, version, bug reporting, and marketplace operations, so there are no obvious dead ends.