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 declare the operation is not read-only, not destructive, and idempotent. The description adds the instruction to include conversation context, which is useful. However, it doesn't disclose what happens after submission (e.g., where the report goes) or side effects beyond basic expectations.
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, punchy sentence that communicates the core action and a key instruction. It's appropriately concise, though it could be slightly restructured to front-load the tool's breadth (bug/feature/feedback) more naturally.
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 feedback tool with no output schema, the description covers what the tool does and the primary usage hint (include conversation). It's sufficiently complete for an agent to invoke correctly, though it omits any error or response behavior.
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 clarify parameters. It does explain the 'conversation' parameter by mentioning the conversation array for reproduction, but it provides no hints for 'message' or 'context'. Partial value added, but not comprehensive.
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: 'Report a bug, missing feature, or send feedback.' This uses a specific verb (report) and resource (bugs/feedback), and it distinguishes from sibling tools like 'marketplace' or 'show_version' by its focus on issue reporting.
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 (for any bug, missing feature, or feedback) and gives explicit guidance to include the conversation array for reproduction. It doesn't mention alternatives or exclusions, but for a feedback tool the usage context is clear.
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.
authenticate and connect overlap on credential/connection territory, and marketplace is an overloaded mega-tool that also contains report_bug, list_tools, install, subscribe, and connect-related flows, duplicating several dedicated tools. Only dprf_nada_consta_consultar has a clearly unique, non-overlapping purpose.
The tool names are a mix of English imperative verbs (authenticate, connect, report_bug, show_version), English noun phrases (marketplace, toolkit_info), and a long Portuguese resource-style name (dprf_nada_consta_consultar). There is no consistent verb_noun or language pattern to guide an agent's selection.
Seven tools is not a large count, but only one tool is actually domain-specific to the DPRF Nada Consta purpose. The other six are generic platform/management tools, so the server feels like a broad platform with a single domain query bolted on rather than a focused domain MCP.
The core flow is covered: authenticate/connect for access, dprf_nada_consta_consultar for the actual inqueria, and marketplace for payment/top-up. There is no deeper history or detail-level management surface, but for a read-only official consultation service the primary workflow is present.