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 convey that the tool is not read-only but is idempotent and non-destructive. The description adds a note about including conversation for reproduction, which is a behavioral requirement, but it does not disclose what happens after reporting (e.g., confirmation, ticket creation) or any rate limits. The bar is lowered by annotations, yet the description could provide more context.
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 concise and front-loaded: a clear action clause followed by a specific instruction. Both sentences earn their place with no filler or repetition, making it easy for an agent to quickly understand the tool.
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 bug-report tool with 3 parameters and no output schema, the description covers the main intent and an important parameter. However, it omits the 'context' parameter's purpose and does not describe the expected outcome or response. Given the lack of an output schema, these gaps leave the agent without full guidance.
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 explains the 'conversation' parameter explicitly ('recent messages for reproduction') but leaves 'message' and 'context' largely implied. This partial compensation is insufficient to earn a higher score, especially since 'context' is entirely undocumented in both schema and description.
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 function with a specific verb: 'Report a bug, missing feature, or send feedback.' This distinguishes it from sibling tools like 'connect' or 'show_version', leaving no ambiguity about its purpose.
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 the obvious usage context (reporting issues/feedback) and provides a specific directive to include conversation messages for reproduction. However, it does not explicitly mention alternatives or exclusions, which would be expected for a 5.
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 are clearly distinct: renda_estimada_consultar, report_bug, show_version, and toolkit_info each have unique purposes. However, authenticate and connect overlap around authentication/connection status, and marketplace and toolkit_info share some visibility into installed tools, causing minor ambiguity.
Tool names are inconsistent: some are English verbs (authenticate, connect, report_bug, show_version), some are English nouns (marketplace, toolkit_info), and the sole domain-specific tool is in Portuguese with an awkward noun_noun_verb structure (renda_estimada_consultar). No clear naming pattern emerges.
The count of 7 tools is within a reasonable range, but the server's stated purpose is socioeconomic level and income estimation, while only one tool addresses that domain. The rest are generic platform utilities, making the set feel misaligned and somewhat bloated for the claimed focus.
For a server supposedly dedicated to income estimation, there is only a single 'consult' operation and no supporting tools (e.g., batch lookup, validation, or explanation of data sources). The large number of unrelated utility tools does not compensate for the lack of domain coverage, leaving significant gaps for agents seeking comprehensive socioeconomic data.