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 establish a non-destructive, idempotent write (readOnlyHint=false, destructiveHint=false, idempotentHint=true), so the description does not need to restate safety. It adds actionable context about including recent conversation messages for reproduction, but does not disclose what response or side effect the caller should expect.
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?
Two concise sentences front-load the purpose and then give the key reproduction instruction. No filler or redundancy.
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 low-complexity and the description covers its core purpose and main reproduction detail, but with no output schema it should state what happens after submission. The optional 'context' parameter and the required 'message' parameter also remain under-described.
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%, and the description only partially compensates: it explains that 'conversation' should contain recent messages (called an 'array' despite the schema declaring a string), while the required 'message' and optional 'context' are left unspecified. This could cause incorrect values, especially for 'conversation'.
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 clear verb-resource pairing ('Report a bug, missing feature, or send feedback') and is distinct from the unrelated sibling tools. It defines exactly what the tool is for without restating the name tautologically.
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 opening phrase gives an explicit use context: bug reports, feature requests, and general feedback. No exclusions or alternative tools are needed because none of the siblings addresses this function, though it could add 'instead of' guidance if a similar tool appeared.
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 'authenticate' and 'connect' both involve authentication flows, and 'toolkit_info' overlaps slightly with 'connect' regarding status. The descriptions are detailed enough to differentiate them, but the boundary between these administrative tools could lead to some mis-selection.
Names use consistent snake_case, but conventions vary: some are verbs (authenticate, connect, report_bug, show_version) while others are nouns (marketplace, toolkit_info). The domain-specific 'cade_processos_consultar' breaks the pattern by mixing a proper noun with a verb. Overall, the mixture is readable but not uniform.
Seven tools is within the ideal range and each earns its place for platform management. However, the server is titled 'CADE: Processos' yet only one tool is domain-specific, making the count feel imbalanced. A slightly smaller number of utility tools would better match the apparent purpose.
The server offers only a single domain operation ('cade_processos_consultar') for what appears to be a legal processes server. There are no list, get-details, or workflow operations beyond the one query, leaving significant gaps for common use cases. The rest of the tools are unrelated to the domain, focused on platform administration.