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 cover readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description adds that the conversation array should be included for reproduction, which is helpful. However, it does not disclose what happens after submission (e.g., ticket creation, response time) or any side effects. Given annotation coverage, this is acceptable 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 is two sentences, tightly written with no filler. It front-loads the purpose and adds one crucial usage note. 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 tool with three parameters, the description covers the core purpose and the key reproduction instruction but omits guidance on the 'context' parameter and does not mention what the response/return behavior is. There is no output schema, so a note on return value would have helped. It is minimally complete for the most common use case.
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?
The schema has 0% description coverage, so the description must clarify all parameters. It mentions the 'conversation array' but the schema type is string, creating ambiguity (it likely expects a JSON-encoded string). The 'message' parameter is only implied by the purpose, and 'context' is not mentioned at all. This is insufficient for correct invocation.
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 uses a specific verb ('Report') and clearly states the resource ('bug, missing feature, or send feedback'). It is easily distinguishable from sibling tools (authenticate, connect, etc.) which serve different purposes. The scope is unambiguous.
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 clearly implies when to use the tool, i.e., when there is a bug, missing feature, or feedback. It also provides a concrete usage instruction about including the conversation array. Since no sibling tool offers similar functionality, explicit alternatives are unnecessary, though there is no explicit 'when not to use' statement.
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 marketplace tool bundles many sub-actions (search, describe, invoke, install, prompts, etc.) that overlap with report_bug, connect, and toolkit_info, making it unclear which tool to choose for a given task. However, mpt_consultar is clearly distinct, and the core tools are mostly separable.
Tool names mix single verbs (authenticate, connect), nouns (marketplace, toolkit_info), Portuguese verbs (mpt_consultar), and snake_case verb_noun patterns (report_bug, show_version). There is no consistent naming convention, which reduces predictability.
Seven tools is a reasonable count for a platform server covering authentication, connection status, marketplace access, bug reporting, versioning, and toolkit state. The broad scope justifies the number, though one tool (marketplace) carries a disproportionate amount of functionality.
The platform lifecycle is well-covered: authentication, connection checks, marketplace exploration/invocation/installation, billing, bug reporting, and version/info. The mpt_consultar tool addresses the specific MPT domain query. Minor gaps exist, such as no dedicated credential management beyond authenticate, but core workflows are not dead-ended.