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 indicate the tool is idempotent and non-destructive. The description adds useful context that the conversation array should include recent messages for reproduction, but it does not explain side effects, response behavior, or any prerequisites. This is adequate 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 consists of two focused sentences with no filler. The first sentence front-loads the purpose, and the second adds a concrete usage hint, so every word earns its place.
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 reporting tool, the description gives enough to understand when to use it and roughly what to send. However, with no output schema and no parameter descriptions, the agent is left to guess about the required message content and the purpose of `context`, which keeps completeness at a minimally viable level.
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, but it only elaborates on the `conversation` parameter. The required `message` and optional `context` parameters are left to inference. Additionally, the description calls `conversation` an 'array' while the schema declares it as a string, which is potentially misleading.
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 explicitly states the tool's purpose: 'Report a bug, missing feature, or send feedback.' This is a specific verb plus resource/scope, and the sibling list contains no other reporting/feedback tool, so it is clearly differentiated.
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 first sentence gives clear scenarios for use: bug reports, missing feature requests, and general feedback. It does not name exclusions or explicit alternatives, but none are evident among the sibling tools, 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.
Most tools are clearly separated by resource and action (e.g., clientes_create vs. produtos_create), and the CRUD verbs are distinct. However, a few non-CRUD actions like cancelar_create and emitir_create carry a misleading '_create' suffix, and the connection tools (connect, list_accounts, toolkit_info) have overlapping concerns.
The dominant pattern is gestaoclick_{resource}_{verb}, which is predictable for the large CRUD set. But exceptions like gerar_parcelas_create, cancelar_create, and emitir_create append '_create' to non-creation actions, and standalone tools (authenticate, connect, marketplace, report_bug, show_version) do not follow the resource-based convention at all.
133 tools is far beyond the 'too many' threshold and will heavily burden an agent's tool-selection process. While the set may reflect a large ERP API, the sheer volume makes the server unwieldy and poorly scoped for typical agent use.
Core entities (clientes, produtos, vendas, compras, orcamentos, ordens_servicos, notas fiscais, etc.) have full CRUD plus important domain actions like emitir, cancelar, and gerar_parcelas. Minor gaps exist: many reference/lookup entities are list-only, and some lifecycle actions for those reference tables are missing, but overall the main workflows are covered.