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 destructiveHint=false, and the description adds value by specifying the need to include conversation for reproduction, beyond what annotations provide.
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 with one sentence and an instruction, but lacks explicit structuring for parameters. It is front-loaded 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?
Given 3 parameters and no output schema, the description covers purpose and a key usage hint but misses explaining the 'context' parameter and what happens after reporting, making it adequate 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?
Schema description coverage is 0%, so the description should compensate. It only mentions the 'conversation' parameter partially and omits details on 'context' and 'message', leaving significant gaps.
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 reports bugs, missing features, or feedback, which is a specific verb-resource pair. It distinguishes itself from siblings; no other sibling tool covers reporting issues.
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 instructs to include the conversation array, providing clear context for usage. Since there are no alternative reporting tools, explicit exclusions are unnecessary.
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 split by action (e.g., separate list, get, write tools for each resource), which makes boundaries somewhat clear, but the sheer number of similar tools (62 total) and repeated descriptions create confusion. An agent must carefully read each tool to pick the correct one, especially when multiple write tools exist for the same resource.
Naming conventions are inconsistent. Some tools use `webdiet_<resource>_write_<action>`, others use `webdiet_<resource>_<action>` (e.g., `webdiet_calculo_energetico_write_create` vs. `webdiet_create_antropometria`). There are also tools like `webdiet_food_search` that break the pattern. This makes it hard to predict tool names.
62 tools is excessive for a nutritionist platform. Many action variants (list, get, create, save, publish, delete, etc.) are split into separate tools rather than parameterized within a single tool. This bloats the tool list and could be consolidated to ~20-30 tools without losing functionality.
The server covers a very wide range of features: patient management, anamnesis, anthropometry, energy calculations, prescriptions (with multiple methods), financials, pre-consultation questionnaires, orientations, food search, file upload, and more. Minor gaps exist (e.g., no explicit tool for meal reactions), but overall the surface is comprehensive for its domain.