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 indicate idempotentHint=true and destructiveHint=false, but no other behavioral details. The description adds no information about side effects, data persistence, rate limits, or auth requirements. It does not contradict annotations (the action is a feedback submission, not a mutation affecting business data). Lacks transparency beyond what annotations already provide.
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, straightforward sentence. It is concise and front-loaded with the primary purpose. While it doesn't waste words, it omits context for other parameters, but that is a completeness issue rather than a conciseness issue. It earns marks for efficiency.
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 tool is simple with only three parameters, but the description leaves unclear what 'context' is for and the exact format of 'conversation.' No output schema exists, so the return value is unknown. While the purpose is clear, complete guidance for a feedback tool would mention what happens after submission (e.g., confirmation) or any limitations (e.g., max message length). Incomplete for a tool that is part of a larger system with many siblings.
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 for parameters. The description mentions 'conversation array' and 'recent messages,' which maps to the 'conversation' parameter, but does not explain 'message' or 'context.' The schema itself shows defaults ('context' and 'conversation' have defaults), but the description offers minimal semantic enrichment, leaving 'message' and 'context' ambiguous.
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 purpose: 'Report a bug, missing feature, or send feedback.' It identifies the verb (report/send) and three related use cases, distinguishing it from the read/write business tools like guru_* and marketplace. Though not explicitly contrasted with siblings, its purpose as a feedback channel is clear.
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 instructs to 'Include the conversation array with recent messages for reproduction,' providing implementation guidance for feedback reports. However, it does not state when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites. No mention of when user feedback would be more appropriate than direct business operations.
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.
The tool names themselves are distinct (e.g., guru_subscriptions_get vs guru_subscriptions_activities), but the descriptions for each resource are identical except for a '[Flattened action: X]' tag, listing all possible actions. This repetition can confuse agents into selecting the wrong tool, especially since many tools share the same description body. The naming is clear but the descriptive overlap undermines disambiguation.
The majority of tools follow a consistent pattern: guru_<resource>_<action> for reads and guru_<resource>_write_<action> for writes. However, there are outliers like 'authenticate', 'connect', 'marketplace', 'report_bug', etc., which break the pattern. Within the Guru API itself, the naming is highly predictable, but the occasional non-Guru tool reduces overall consistency.
With 101 tools, the server is grossly over-scoped. The API has been fragmented into a separate tool for every action across many resources (e.g., subscriptions alone have 15+ tools). This is far beyond the typical MCP server size and makes the tool list overwhelming and impractical for agents to navigate. The extreme granularity offers no benefit over a smaller, well-organized set.
The tool set covers a wide range of operations: CRUD for contacts, subscriptions, transactions, products, coupons, webhooks, and more, including write actions like refunds, chargebacks, and subscription modifications. The domain appears well-covered, though some resources lack create operations (e.g., no create subscription) and there are a few gaps like missing explicit update for transactions. Overall, the coverage is thorough for the stated API surface.