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?
With annotations already indicating this is a non-read-only, non-destructive, idempotent operation, the description adds useful behavioral context by requiring the conversation array for reproduction and clarifying the scope of reports. It does not detail side effects, but the annotation profile covers the key safety aspects.
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 sentence with a clear, front-loaded purpose and one actionable instruction. Every phrase earns its place and there is no wasted wording.
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?
The description covers the tool's core purpose and the most important reproduction detail, making it minimally viable for an agent. However, it lacks guidance on the required message field and the context field, and does not mention what happens after a report is submitted.
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?
The schema has 0% description coverage, so the description must compensate. It only adds meaning for 'conversation' (by calling it an array of recent messages), while the required 'message' parameter and optional 'context' parameter are left completely to inference from their names with no format or usage guidance.
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 uses a clear verb ('Report') with specific resource targets (bug, missing feature, feedback) and is easily distinguishable from the sibling tools, which are all auth, knowledge-base, or version operations. It leaves no ambiguity about what the tool does.
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?
It explicitly states when to use the tool: report a bug, missing feature, or send feedback. It also provides a practical guideline to include the conversation array for reproduction. It does not name alternatives, but no comparable sibling tool exists, so this 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 are distinct: kb_* tools handle knowledge base operations, while authenticate/connect/marketplace/toolkit_info serve system-level purposes. However, 'connect' and 'toolkit_info' overlap slightly in reporting connection status, and 'marketplace' is a broad multi-purpose tool that might be confused with 'report_bug' for feedback.
The kb_* tools follow a consistent snake_case verb_noun pattern (kb_add_text, kb_get_document, kb_ingest_url, etc.), but system tools break the pattern: 'authenticate', 'connect', 'marketplace', 'report_bug', 'show_version', 'toolkit_info' use varying conventions (bare verbs, nouns, compound names). The mixed style reduces overall consistency.
With 13 tools, the server covers both the knowledge base domain (9 kb_* tools) and platform management (4 system tools). This is a well-scoped count that doesn't feel bloated, and each tool addresses a distinct operational need.
The kb_* tools cover the core lifecycle: add text, ingest URLs, get/list documents, search, remove. Missing obvious operations like 'update document' or 'create a new empty document' are minor gaps easily worked around. The marketplace tool adds extensibility that mitigates domain gaps, but within the stated purpose the coverage is strong.