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?
The description states it reports bugs (a side effect), but the annotation idempotentHint is true, implying repeated calls are safe. This is a contradiction: bug reporting typical creates a ticket and is not idempotent. No other behavioral traits are disclosed.
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 only two sentences, with no wasted words. It is front-loaded with the tool's purpose and includes a specific instruction for the conversation parameter.
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 has 3 parameters, no output schema, and no annotations beyond the contradiction, the description is incomplete. It does not describe return values, success/failure behavior, or whether the bug report is stored immediately.
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 the 'conversation' parameter (include array with recent messages) but does not explain the required 'message' parameter or optional 'context'. This leaves key parameters under-specified.
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 feedback, and it mentions including the conversation array for reproduction. It is distinct from sibling tools, which are all OpenFinance-specific 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 does not provide guidance on when to use this tool versus alternatives. There is no mention of prerequisites or exclusions, leaving the agent to infer usage from context alone.
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.
Several tools have overlapping purviews—list_transactions vs list_transactions_by_item, get_credit_card_bill vs list_credit_card_bills, and connect vs list_connections vs get_item_status vs provider_status—so an agent could pick the wrong one. The very detailed descriptions disambiguate them, but the tool names alone do not.
The openfinance_ prefix provides a clear family and most members use list_/get_/update_ verbs, but there are deviations like openfinance_provider_status (no verb), openfinance_disconnect_bank, and openfinance_force_sync. Platform tools (authenticate, connect, marketplace, toolkit_info) follow a different, less uniform style.
At 25 tools, this sits at the top of the heavy range. Most Open Finance operations are justified given the breadth of banking data, but overlapping tools and the mega-marketplace tool with many sub-actions make the set feel slightly bloated.
The Open Finance surface covers list/get/update/disconnect/sync for accounts, transactions, credit card bills, loans, and investments, plus provider health, connection search, and platform-level auth, marketplace, version, and feedback. There are no obvious dead ends or missing lifecycle operations.