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 idempotentHint=true and readOnlyHint=false. The description adds behavioral context by specifying that the conversation array is needed for reproduction, implying the tool sends or uses this data. It does not contradict any annotations, and the added context is valuable 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 two sentences with no wasted words. The first sentence states the purpose, and the second provides a key usage hint. It is front-loaded and appropriately compact.
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?
Overall, the description is adequate for a simple bug reporting tool, but it has clear gaps: only one of three parameters is mentioned, there is no guidance on expected output, and parameter semantics are not fully clarified. The annotations cover safety aspects, but the description is not complete enough on its own.
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 mentions the 'conversation array' but calls it an 'array' while the schema defines it as a string (likely JSON). It does not explain the required 'message' parameter or the optional 'context' parameter. This is insufficient for an agent to correctly populate all parameters.
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 a specific verb+resource: 'Report a bug, missing feature, or send feedback.' This distinguishes it from siblings like 'marketplace' or 'show_version', which have unrelated functions.
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 provides clear usage context by instructing to 'Include the conversation array with recent messages for reproduction.' While it doesn't explicitly say when not to use the tool, the sibling tools are unrelated, so no exclusions are necessary. The purpose itself implies appropriate use cases.
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 purposes, but marketplace bundles many sub-actions (search, describe, invoke, install, subscribe, etc.) into one tool, and connect/toolkit_info both report connection/status information, creating some boundary ambiguity.
Naming is mixed: simple verbs (authenticate, connect), verb_noun patterns (show_version, report_bug, toolkit_info), a single noun (marketplace), and a domain-specific compound (nfe_inutilizacao_consultar) do not follow a consistent convention, though names remain readable.
With 7 tools, the count is within a normal range, but only one tool (nfe_inutilizacao_consultar) relates to the server's stated purpose of NFe inutilizações. The other six are generic platform utilities that inflate the count for a domain-specific server.
The domain surface is severely limited: a single consult operation (nfe_inutilizacao_consultar) with no additional NFe-related operations such as listing, filtering, or exporting. The platform tools do not address the domain, leaving agents with only one tool for all NFe tasks.