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 tool is not read-only, not destructive, and idempotent. The description adds some context by explaining that conversation data aids reproduction, but it does not discuss side effects, permissions, or what happens after submission. This is sufficient given the annotations, but not rich.
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 sentences, front-loaded with the primary purpose and a single key instruction. Every word earns its place; no fluff or redundancy.
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 description is adequate for a simple reporting tool, but it omits meaning of the 'context' parameter and doesn't clarify that 'conversation' is a JSON-encoded string despite being called an 'array'. It also doesn't mention return values, but no output schema exists. These gaps make it minimally viable but not fully complete.
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?
With 0% schema description coverage, the description must compensate for parameter meaning. It explains that 'conversation' should contain recent messages for reproduction, and 'message' is implied by the tool's purpose. However, 'context' is left undefined, leaving a required-optional parameter ambiguous. The compensation is incomplete.
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 specific verbs and objects: 'Report a bug, missing feature, or send feedback.' It also adds actionable context about including the conversation array for reproduction. This clearly distinguishes it from sibling tools like authenticate or marketplace.
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 has a bug, feature request, or feedback) and provides a specific usage instruction: include the conversation array with recent messages. It does not explicitly mention alternatives or exclusions, but the sibling tools are unrelated, so the 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.
Each tool has a broadly distinct role—auth, status, marketplace, version, toolkit info, and the domain query. However, `connect` and `toolkit_info` both report connection state, and `marketplace` bundles many sub-operations (search, invoke, install, prompts) into one tool, which can blur boundaries.
Naming is inconsistent: platform tools mix verb-led names (authenticate, connect, report_bug, show_version) with noun-led names (marketplace, toolkit_info), and the single domain tool uses a Portuguese noun-based phrase (vinculos_societarios_consultar). This mixing of language and pattern makes the set feel arbitrary.
The server is named 'Vínculos Societários' but only one of seven tools is domain-specific; the other six are generic platform management tools that could belong to any MCP server. The domain tool count is too thin, while the meta-tool count is oversized relative to the stated purpose.
For the domain of corporate relationship lookup, only a single consult operation is provided. There are no supporting tools for data preview, history, export, or related searches, and no obvious operations to complement the core query. The platform helpers do not contribute to domain coverage.