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 readOnlyHint=false, destructiveHint=false, and idempotentHint=true, so the description's burden is lower. It adds useful context by instructing to include the conversation array for reproduction, which hints at what data may be transmitted. However, it does not disclose any potential side effects or what happens after reporting, so it falls short of being richly transparent.
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 sentences long, with the first sentence clearly stating the purpose and the second providing essential usage detail. No unnecessary words or repetition. It is front-loaded with the most critical information.
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's simplicity (3 parameters, no output schema), the description covers the primary purpose and the most important parameter (conversation). However, the context parameter remains unclear, and the conversation serialization is ambiguous, leaving some gaps for a fully self-contained description. It is still adequate for a basic reporting tool.
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 explain the parameters. It explicitly mentions the conversation array, and message is implicitly the report text, but the context parameter is completely unexplained. The conversation parameter's type is string, yet the description calls it an 'array,' which could confuse the agent about expected format. This gap in coverage warrants a low score.
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 states exactly what the tool does: 'Report a bug, missing feature, or send feedback.' The verb 'report' is specific, and the objects (bug, missing feature, feedback) distinguish it from sibling tools like authenticate or marketplace, which have no reporting function.
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 clearly implies when to use the tool: whenever there is a bug, missing feature, or feedback to report. It does not explicitly mention alternatives or exclusions, but given the sibling tools are unrelated, no such differentiation is necessary. Providing an explicit 'use this instead of X' would elevate this to a 5.
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, distinct purposes (authenticate, cvm_consultar, show_version), but connect and toolkit_info overlap in reporting connection status, and marketplace is a catch-all with many sub-actions (search, describe, invoke, install, list_tools, subscribe, etc.) that could be confused with separate tools like report_bug. Descriptions help, but boundaries are not always crisp.
Tool names follow no consistent pattern: some are verbs (authenticate, connect, report_bug, show_version), some are nouns (marketplace, toolkit_info), and one uses snake_case with a Portuguese verb (cvm_consultar). Mixed conventions and unclear verb/noun styles make the set feel inconsistent.
With 7 tools, the count is reasonable and not bloated. However, marketplace is an extremely large tool packing many capabilities, effectively expanding the surface. Still, the overall number is appropriate for a platform server that mixes marketplace functionality with a single domain query.
The server covers authentication, connection status, marketplace search/run/install/billing, bug reporting, version info, and toolkit state. Minor gaps exist (e.g., no explicit logout or account/profile management), but for its apparent purpose, the surface is largely complete and workable.