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 readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description does not contradict these, but it adds minimal behavioral context: it mentions the action of reporting, which aligns with non-destructive, idempotent behavior. It doesn't disclose any side effects, rate limits, or what happens after reporting, so it adds some value but not much beyond the annotations.
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 short: one sentence that efficiently communicates the tool's main purpose and a key usage tip (include conversation). It is front-loaded with the action verb 'Report' and the object. No fluff, but it could be more structured if it listed parameters, hence not a 5.
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?
Given the tool's medium complexity (3 params, no output schema, minimal annotations), the description is incomplete. It lacks parameter semantics, expected input formats (e.g., how to structure the conversation array), and any details about the response. The user/agent is left with insufficient guidance for correct invocation, especially since schema coverage is 0%. It covers basic purpose but not operational details.
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%, meaning the description provides no parameter documentation. The description mentions 'conversation array' but does not explain the other parameters (context, message) beyond what their names imply. With three parameters and zero coverage, the description must compensate but fails, leaving the agent to guess the purpose and format of 'context' and how 'conversation' should be structured (JSON string?).
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: to report a bug, missing feature, or send feedback. It identifies the primary resource (the system being used) and the action (report/send). While it distinguishes this from sibling tools (which are mostly unrelated operational tools), it doesn't explicitly name alternatives, so it's not a 5.
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 usage: when the user wants to report a bug or provide feedback. It gives a key hint about including the conversation for reproduction, which is important context. However, it doesn't explicitly say when NOT to use it or mention alternatives (e.g., for feature requests, use marketplace?), leaving some ambiguity. This is adequate but not explicit.
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.
Each tool has a distinct purpose: authenticate handles token login, connect checks provider status, detran_df_debitos_consultar queries debts, marketplace searches/executes MCPs, report_bug sends feedback, show_version displays versions, and toolkit_info lists toolkit state. There is minor overlap between authenticate and connect (both deal with connection/auth) and between marketplace and toolkit_info (both involve MCP discovery), but the descriptions are clear enough to avoid major confusion.
All tool names are lowercase with underscores, but they do not follow a consistent pattern. Some are verbs (authenticate, connect, report_bug, show_version), some are nouns (marketplace, toolkit_info), and detran_df_debitos_consultar mixes a domain prefix with a verb at the end, using Portuguese rather than English. This inconsistency reduces predictability.
With 7 tools, the count is not extreme, but the scope is mismatched to the server's stated purpose ('DETRAN DF: Débitos'). Only one tool is actually related to DETRAN debts; the other six are generic platform utilities (authentication, marketplace, feedback, etc.). This feels like a general-purpose MCP platform server rather than a focused debt-consultation server, making the tool set inappropriate for the apparent domain.
For a server named 'Débidos', the only domain-specific operation is detran_df_debitos_consultar, which provides a single consultation action. There are no other debt-related operations such as listing, filtering, or paying debts, and the rest of the tools are unrelated to the domain. This is a severely incomplete surface for the stated purpose.