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 declare readOnlyHint=false, destructiveHint=false, and idempotentHint=true, covering the basic safety profile. The description adds the useful behavioral detail that a conversation array should be included for reproduction, but it does not explain what happens after the report is submitted.
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 short sentences, front-loaded with the core purpose, and every sentence adds value. No filler or redundant restatement of the tool name.
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?
For a simple three-parameter feedback tool, the description covers the primary action and the key reproduction guidance. It is somewhat incomplete because it omits the meaning of the required message parameter and does not describe expected outcomes, especially since no output schema is provided.
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 ('recent messages for reproduction') but does not clarify the required message parameter or the context parameter, leaving a significant gap.
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 feedback. It is specific about the action and resource, and it is distinct from all sibling WhatsApp/configuration tools.
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 gives clear context for when to use the tool by enumerating bug reports, feature requests, and feedback. It does not explicitly mention when not to use it or name alternatives, but no obvious alternative exists among the siblings.
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.
There are many flattened action variants (e.g., whatsapp_chat_archive, whatsapp_chat_unarchive, whatsapp_chat_pin, etc.) that duplicate the same underlying action with similar descriptions, making it easy to select the wrong tool. However, some tools like whatsapp_send_text vs whatsapp_send_media are clearly distinct, and the group management tools share a common action pattern.
Most tools follow a consistent `whatsapp_<resource>_<action>` pattern (e.g., whatsapp_chats, whatsapp_messages, whatsapp_group_members), with flattening creating multiple tools from the same action set. A few exceptions like `authenticate`, `connect`, `marketplace` break the pattern, but the WhatsApp-specific tools are largely consistent.
47 tools is substantial, and many are flattened action variants (e.g., 6 chat state tools for archive/unarchive/pin/unpin/mute/unmute) that could be consolidated. The sheer number makes the tool list difficult to navigate, especially with non-WhatsApp tools like authenticate, marketplace, and report_bug mixed in. This feels over-scoped for a WhatsApp server.
The tool set covers core WhatsApp workflows: reading chats, contacts, groups, messages, sending messages/media, reacting, polls, search, history backfill, webhooks, and config. Minor gaps include lack of explicit voice message sending and perhaps advanced group settings, but most lifecycle operations are present.