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 readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description adds the context that the conversation array is used 'for reproduction,' which offers some insight into behavior, but it does not disclose side effects, rate limits, or expected outcomes. No contradiction with 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 a compact two-sentence statement that immediately conveys purpose and a key usage instruction. There is no fluff or repetition of schema data.
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?
For a simple tool with three string parameters and no output schema, the description covers the core purpose and one important usage detail. However, it omits parameter semantics for message/context and does not hint at what response the agent might receive. This leaves some gaps, but the tool is simple enough that the description is minimally viable.
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. It only explains the 'conversation' parameter ('Include the conversation array with recent messages'), but does not describe the required 'message' parameter or the optional 'context' parameter. This leaves the agent without meaningful parameter guidance.
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 states 'Report a bug, missing feature, or send feedback' with a specific verb and resource. This clearly distinguishes it from sibling tools like authenticate or show_version.
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?
Provides clear context for when to use the tool (bug reports/feedback) and includes a specific instruction to include the conversation array for reproduction. However, it does not explicitly mention when not to use it or name alternatives.
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.
Most tools have distinct roles: authentication, status, marketplace operations, version, toolkit info, bug reporting, and the single OAB lookup. However, 'marketplace' bundles many sub-actions (search, describe, invoke, install, prompts) which could be confusing, and 'connect' overlaps with 'authenticate' in terms of connection status.
Naming is inconsistent: some are bare verbs (authenticate, connect), some are noun-style (marketplace, toolkit_info), one is Portuguese with underscores (oab_advogados_consultar), and others use underscores but with different conventions (report_bug, show_version). There is no clear verb_noun pattern across the set.
Seven tools is a reasonable number for a platform server, though most of them are generic meta-tools. The count is not excessive, but the mix of domain and platform tools feels slightly awkward. Still, it is within a typical well-scoped range.
Given the server name 'OAB Cadastro de Advogados', the only domain-specific tool is a single lookup by name and registration number. There are no other OAB-related operations (e.g., listing, verifying, or detailed info). The rest are generic platform tools, making the domain coverage severely incomplete.