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 idempotentHint=true but no readOnly/destructive hints. The description does not contradict annotations. It adds context that sending the conversation array aids reproduction, which is useful. However, it doesn't disclose what happens after reporting (e.g., no response or confirmation) or any side effects beyond the idempotent hint.
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 concise, two sentences, and front-loaded with the purpose. Every sentence adds value, and it is appropriately sized for the tool's simplicity.
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 (3 params, no output schema), and the description covers the core usage. However, it lacks details on how the 'conversation' parameter should be formatted (e.g., JSON array as string) and what the 'context' parameter is for. Slightly incomplete due to missing parameter semantics.
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. The description mentions the conversation array for reproduction, which clarifies that parameter. However, it does not explain the meaning of 'message' or 'context' beyond their schema names. With low coverage, more parameter detail is needed.
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.' It uses a specific verb ('report') and identifies the resource (bug, feature, feedback). It distinguishes from siblings by focusing on user feedback rather than process queries or tool info.
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 specifies when to use it (when reporting bugs/feedback) and includes an instruction to include the conversation array. However, there is no guidance on when NOT to use it or alternatives (e.g., for other issues). Only partial usage context is provided.
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.
Tools are generally distinct, with the domain-specific consult tool clearly separated from platform utilities. However, 'marketplace' is a broad catch-all that overlaps with 'toolkit_info' for listing/installing capabilities, creating potential confusion.
Naming is inconsistent: verbs (authenticate, connect), nouns (marketplace), compound names with underscores (mpf_processos_consultar, toolkit_info). No consistent verb-noun or noun-verb pattern, mixing English and Portuguese.
With 7 tools, the count is moderate, but only one tool serves the stated domain (MPF Processos). The other six are generic platform management tools that belong to a separate server, making the set feel bloated and misaligned with its name.
The core consultation tool covers the primary need but offers no additional process-related operations (e.g., listing, detailing, or updating). The platform tools do not contribute to domain completeness, leaving the surface minimal but functional.