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 provide readOnlyHint=false and destructiveHint=false. The description adds that the conversation should be included for reproduction, which is useful behavioral context, but does not disclose other side effects or system interactions.
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 short sentences, front-loaded with the purpose and a key usage detail. No wasted words.
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 tool is simple with no output schema, but the description leaves a gap by not clarifying the conversation type (array vs string) and not explaining the optional context parameter. It is 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 coverage is 0%, so the description must compensate. It mentions 'conversation array' but the schema defines conversation as a string, which is misleading. It also fails to describe 'message' and 'context' parameters beyond their obvious roles.
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 'Report a bug, missing feature, or send feedback' with a specific verb and resource, and it is easily distinguished from sibling tools like marketplace and 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?
It explicitly identifies when to use the tool (for bugs, missing features, feedback) and provides a contextual hint about including conversation for reproduction. However, it does not explicitly mention exceptions or alternative tools, but the sibling tools are unrelated.
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.
The core enrichment tool is distinct, but there is overlap among the platform tools: connect and toolkit_info both report connection status, and authenticate is also related to connection setup. An agent could confuse which tool to use for checking connectivity or managing credentials.
Tool names are inconsistent in style: single verbs (authenticate, connect), a Portuguese noun-verb phrase (enriquecimento_lead_consultar), generic nouns (marketplace), and verb_noun pairs (report_bug, show_version). There is no predictable convention across the set.
Seven tools is within a reasonable count range, but the set mixes one domain-specific tool with several generic platform management tools, making the overall scope feel unbalanced. The count itself is appropriate, though not perfectly scoped.
The lead enrichment domain is severely under-covered: only one tool (enriquecimento_lead_consultar) performs enrichment, with no support for other identifier types, batch operations, or lead lifecycle management. The platform tools are generic and do not address the server's stated purpose.