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 readOnly=false, idempotent=true, destructive=false, and the description does not contradict these. It adds a note about including conversation data for reproduction, but does not explain any side effects, permissions, or return behavior, so it provides limited transparency.
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 single, front-loaded sentence with no filler. It states the purpose and the key parameter tip efficiently.
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 no output schema, the description is too sparse. It omits the meaning of the required 'message' field and what happens after reporting. A user/agent would need more clarity on expected input format and behavior.
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 zero description coverage, so the description must explain parameters. It clarifies that 'conversation' should contain recent messages for reproduction, but does not describe the required 'message' parameter or the optional 'context', leaving the most important parameter undocumented.
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 verb 'Report' and the scope 'a bug, missing feature, or send feedback', giving a specific purpose that distinguishes it from unrelated sibling tools such as authenticate or marketplace.
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 implies when to use (when reporting a bug or sending feedback) but provides no explicit alternatives or exclusions. It does mention to include the conversation array for reproduction, which is a usage hint but not about tool selection.
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 clearly distinct purposes: authentication, connection status, marketplace discovery/execution, domain lookup, bug reporting, version info, and toolkit state. There is minor overlap between authenticate and connect, but their descriptions clarify the different concerns.
Tool names follow no consistent pattern: single verbs (authenticate, connect), a noun (marketplace), a contextual object-action (protestos_nacional_consultar), and verb-noun combinations (report_bug, show_version, toolkit_info) are mixed without a unified convention.
Seven tools is within a reasonable range, but the server is dominated by platform meta-tools with only one domain-specific tool, making the tool count feel unbalanced for a server named 'Protestos Nacional'.
The single protestos consultation tool covers basic lookup needs, but the domain surface is very thin with no additional operations like history, export, or batch queries. The meta-tools provide broader platform capabilities but do not fill domain-specific gaps.