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 cover the safety profile: idempotentHint=true, destructiveHint=false, readOnlyHint=false. The description adds the reproduction-focused instruction about the conversation array, which is useful context but does not disclose significant additional behavioral traits such as what happens after submission.
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, front-loaded sentence that states the tool's purpose and immediately gives the key usage instruction. Every clause earns its place and there is no 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?
The tool is simple and annotations cover basic side-effect characteristics, making the description adequate for basic invocation. However, the 'context' parameter is left unexplained and there is no mention of what happens after reporting, so the description is not fully complete.
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 the undocumented parameters. It clarifies that 'conversation' should contain recent messages for reproduction, but it does not explain 'context' or elaborate on the required 'message' parameter, leaving a meaningful semantic 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 states a specific verb ('Report') and resource ('a bug, missing feature, or send feedback'), making the tool's purpose immediately clear. It also distinguishes itself from the sibling tools, none of which appear to be a feedback/reporting channel.
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 identifies when to use the tool: when there is a bug, a missing feature, or general feedback. It does not explicitly name alternatives or exclusions, but the context is clear enough for an agent to route these cases appropriately.
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 stone_vendas_* tools are clearly separated by data type, but the generic tools are not: connect, toolkit_info, and marketplace all describe connection/installed-tool state, and marketplace even mentions report_bug functionality that is also a standalone tool. Agents could easily pick the wrong meta-tool when checking status or running another MCP.
The Stone tools share a consistent stone_vendas_ prefix, but the rest of the server uses bare English verbs/nouns like authenticate, connect, marketplace, and toolkit_info. Inside the prefix, the names mix verbs like listar and limpar_cache with nouns like arquivo, recebiveis, and resumo, so no single naming pattern governs the set.
15 tools is not extreme, and the nine Stone-specific tools are reasonably scoped. However, six generic MCP.AI/admin tools are unrelated to Stone Vendas and dilute the server's purpose, making the count feel padded.
The Stone domain covers the main reconciliation workflow well: sales, Pix, settlements, receivables, cancellations/chargebacks, account listing, a catch-all daily file, and cache reset. There are minor gaps like a direct single-transaction lookup or an explicit bank-statement reconciliation tool, but core reporting has no dead ends.