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 provide idempotentHint=true, readOnlyHint=false, and destructiveHint=false. The description adds valuable context by specifying the types of reports (bug, missing feature, feedback) and instructing to include the conversation array for reproduction. No contradictions with annotations are present.
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 concise sentences with no wasted words. The action is front-loaded, and the extra instruction about the conversation array is directly relevant. It is efficiently structured and easy to parse.
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 tool with no output schema, the description covers the main purpose and a key parameter. However, there is a gap: the schema defines 'conversation' as a string while the description calls it an 'array', which could lead to incorrect invocation. It also does not mention expected responses or error scenarios, leaving the description slightly incomplete.
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 by mentioning the conversation array, but it does not clarify the meaning of 'message' or 'context' beyond general inference. The 'message' is implied as the report text, but 'context' remains unexplained, making the compensation only partial.
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 with a specific verb: 'Report a bug, missing feature, or send feedback.' This distinguishes it from sibling tools like authenticate, marketplace, and show_version, which serve entirely different functions. The action and resource are explicit.
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 implies when to use the tool (when the user wants to report an issue or provide feedback) and provides context by mentioning reproduction with the conversation array. However, it does not explicitly state when not to use it or mention alternatives, so it falls short of a full 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 distinct purposes, but authenticate and connect both relate to authentication and connection status, which could cause confusion. Marketplace is a catch-all for many sub-functions, making it unclear when to use it versus other tools.
Tool names are inconsistent: some are English verbs (authenticate, connect), some are nouns (marketplace, toolkit_info), and one is a Portuguese snake_case function (dap_pronaf_pf_consultar). There is no consistent verb_noun or stylistic pattern.
Seven tools is a reasonable number for a server that combines platform utilities with a domain-specific query. However, the marketplace tool is a mega-tool that could be split into multiple tools, slightly inflating the effective surface.
The server covers platform operations well (auth, connection, version, bug reporting, toolkit info) but lacks domain-specific operations beyond the single consultation tool. There are no update or delete operations for DAP data, but that may be outside the server's intended scope.