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, and the description adds that it is for reporting feedback and suggests including conversation data. It does not contradict annotations. The description provides some behavioral context (reproduction need) but does not elaborate on side effects or safety beyond what annotations already offer.
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, no redundancy, and front-loads the core purpose. Every word is meaningful and efficient.
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 covers the tool's purpose and hints at one parameter, but lacks information about return values (no output schema) and does not explain what the 'message' parameter represents. It is adequate but not fully comprehensive.
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. It partially does by explaining the 'conversation' parameter's purpose, but does not clarify 'message' (required) or 'context'. It adds some value but 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: 'Report a bug, missing feature, or send feedback.' It uses specific verbs (report, send) and resources (bug, missing feature, feedback). Among sibling tools, none serve a similar function, so it distinguishes itself effectively.
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 context (when encountering an issue or wanting to provide feedback) and instructs to include a conversation array for reproduction. However, it does not explicitly state when not to use this tool or mention alternatives, though no direct alternatives exist among siblings.
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.
Many tools have nearly identical descriptions, differing only by a single action name (e.g., dietbox_agenda_list vs dietbox_agenda_summary, multiple anamnesis read tools). This makes it hard for an agent to choose the correct tool. The splitting of CRUD operations into separate tools per action creates significant overlap.
Most Dietbox tools follow a consistent `dietbox_<entity>_<action>` snake_case pattern, but tools like `authenticate`, `connect`, `marketplace`, `report_bug`, `show_version`, and `toolkit_info` break this, making naming partially inconsistent. Overall, the pattern is clear for the core domain.
With 42 tools, the server is overburdened. Many tools are redundant due to splitting actions (e.g., three read tools for anamnesis), and non-domain tools (marketplace, bug reporting) inflate the count unnecessarily. A more streamlined set of 15-20 tools would be more appropriate.
The server covers a wide range of nutrition practice features: patients, appointments, anamnesis, anthropometry, chat, food diary, goals, finances, meal plans (read-only), prescriptions, and clinical records. However, notable write operations are missing (meal plans, goals, finance transactions), and some read-only tools lack corresponding edits.