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 | [] |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already communicate that this is not read-only and not destructive, and the description adds the behavioral requirement to include the conversation array for reproduction. It does not disclose what happens after submission (e.g., ticket creation, rate limits) but is not misleading.
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 efficient sentence that immediately states the tool's purpose and the key usage requirement. No wasted words or redundant 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?
For a simple 3-parameter tool with no output schema, the description covers the core purpose and one parameter. However, it omits clarification of the required 'message' field, the optional 'context' field, and any information about the result of the report, leaving some ambiguity for an agent.
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 only explains the 'conversation' parameter's purpose ('recent messages for reproduction') but leaves the required 'message' and optional 'context' parameters unexplained. This is a significant gap for the required parameter.
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 function with specific verbs and resources: 'Report a bug, missing feature, or send feedback.' This distinguishes it from unrelated siblings like authenticate, connect, or marketplace, and 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?
The purpose is clear enough that an agent can infer when to use it, and the instruction to include the conversation array provides practical guidance. However, there is no explicit 'when to use vs alternatives' or exclusionary language, and sibling tools are unrelated so no comparison is made.
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 set contains one domain-specific tool (detran_pe_veiculo_consultar) and several platform utilities. Most have distinct purposes, but connect and toolkit_info both report connection status, which could cause minor confusion. Overall, the tools are well-separated.
Tool names mix English and Portuguese, and use inconsistent structural patterns. For example, 'marketplace' is a noun while 'authenticate' is a verb, and 'detran_pe_veiculo_consultar' follows a Portuguese naming convention. This inconsistency makes it harder to predict tool names.
With 7 tools, the count is within a reasonable range, but the server's specific name suggests a focus on DETRAN PE vehicle data, yet only one tool directly addresses that. The remaining tools are generic platform utilities, which dilutes the server's apparent purpose.
The only domain-specific tool is a single query operation for DETRAN PE vehicles. No other vehicle-related operations are present, such as lookup by different identifiers, history, or fines. The platform utilities are comprehensive but do not contribute to the data domain, leaving the DETRAN coverage extremely thin.