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 | [] |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate idempotentHint=true and destructiveHint=false, covering safety. The description adds minimal behavioral context beyond the usage hint about conversation; it doesn't disclose traits like server-side effects, rate limits, or what happens after submission.
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 a single concise sentence that directly states the tool's purpose and a key usage hint. It is front-loaded and efficient, though it could be slightly more structured to separate purpose and guidelines.
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 no output schema and low parameter documentation (0% coverage), the description does not fully equip the agent to use the tool. The required 'message' parameter is not described, and the overall return or effect is not mentioned. The inclusion of 'conversation' is helpful but insufficient for complete understanding.
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 should compensate. It only mentions including the 'conversation' array, but does not explain the 'message' parameter (required) or the 'context' parameter. This leaves the agent with incomplete understanding of how to correctly fill the parameters.
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 is for reporting bugs, missing features, or sending feedback. It uses specific verbs ('report', 'send') and names the resources ('bug', 'feature', 'feedback'), distinguishing it from sibling tools that primarily deal with financial data 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 instructs to 'include the conversation array with recent messages for reproduction', providing a clear usage hint. However, it does not specify when not to use the tool or mention alternatives, so the guidance is implicit rather than explicit.
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.
The tools are mostly distinct, covering authentication, marketplace navigation, Open Finance data retrieval (accounts, transactions, bills, loans, investments), and status/connector management. Some overlap exists between openfinance_list_transactions and openfinance_list_transactions_by_item (both return transactions, but the latter is a consolidated summary), which could cause momentary confusion, though descriptions clearly differentiate them.
Tool names follow a clear pattern: 'openfinance_' prefix for Open Finance operations, with consistent verb_noun structure (list_accounts, get_account_balance, update_transaction_category). However, there are a few outliers like 'authenticate', 'connect', 'marketplace', 'report_bug', and 'show_version' that don't follow the Open Finance naming convention, though they serve different purposes and are still readable.
With 25 tools, the count is slightly high but justifiable given the broad scope: the server covers Open Finance banking data (accounts, transactions, bills, loans, investments, connections), marketplace operations, and system utilities. Not all tools are used in every session, but each serves a distinct purpose, and the count remains manageable due to clear grouping.
The tool surface covers the core Open Finance lifecycle well: list and get accounts, transactions, bills, loans, investments, plus sync, reconnect, and category updates. It also includes connector search and provider status. Minor gaps exist, such as no explicit tool for updating or deleting a transaction category rule, and no direct CRUD for connections (only list and disconnect), but these are acceptable gaps.