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 adds useful behavioral guidance by instructing users to 'Include the conversation array with recent messages for reproduction,' which supplements the schema. However, it doesn't disclose whether the report is sent, stored, or if there are any side effects beyond what annotations (idempotentHint, destructiveHint) already convey.
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 two concise sentences with the core purpose stated first and the key usage detail about the conversation array second. No filler 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?
This is a simple tool with three string parameters and no output schema, so deep behavioral documentation is unnecessary. The description covers the purpose and one parameter but omits the required message and any expected result, 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 carries the burden for parameter meaning. It explains the 'conversation' parameter but leaves the required 'message' parameter and the optional 'context' parameter undocumented, limiting its value for parameter understanding.
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 explicitly states the tool's purpose: 'Report a bug, missing feature, or send feedback.' This is a specific verb + resource combination and clearly differentiates the tool from unrelated sibling tools like authenticate and marketplace.
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 implies when to use the tool—whenever a user needs to report a bug, missing feature, or provide feedback. It doesn't explicitly list alternatives or exclusions, but given the sibling tools serve unrelated purposes, the usage context is clear enough.
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 have clear purposes, but 'authenticate' and 'connect' both deal with authentication state, and 'marketplace' overlaps slightly with 'toolkit_info' in terms of discovering vs. viewing tools. These pairs could cause initial confusion, though descriptions help.
Names mix English verbs (authenticate, connect, report_bug) with a noun (marketplace) and a Portuguese command (fincen_consultar). There is no consistent verb_noun or noun pattern, making the set feel ad hoc.
With 7 tools, the number is well within the typical range for a platform server. Each tool serves a distinct functional area (auth, status, query, marketplace, bug, version, toolkit), so none feels superfluous.
The platform covers essential operations: authentication, connection status, tool discovery/execution, bug reporting, version info, and toolkit state. The FinCEN-specific side is minimal (one query tool), but the marketplace allows extending coverage, so the surface is reasonably complete.