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 declare idempotentHint=true and destructiveHint=false, so the description doesn't need to repeat that. It adds context about including the conversation for reproduction, which implies the tool transmits data. No contradictions are present, and the description's minimal additional detail is sufficient for a simple feedback tool.
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 sentences, no fluff. The first sentence states purpose, the second gives actionable usage guidance. Perfectly front-loaded and concise.
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 low-complexity tool with 3 parameters and no output schema, the description covers the essential purpose and the key usage hint (including conversation). The only gap is the lack of explanation for the 'context' parameter, which is a minor omission.
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 compensate. It mentions the 'conversation array' but not its string format or the 'context' parameter. The 'message' parameter is implied but not explicitly explained. Some value is added, but not all parameters are covered.
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 purpose: 'Report a bug, missing feature, or send feedback.' This is a specific verb+resource combination that distinguishes it from sibling tools like authenticate or marketplace, which cover different functions.
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 provides clear usage context by stating when to use the tool ('Report a bug, missing feature, or send feedback') and gives an explicit instruction to 'Include the conversation array with recent messages for reproduction.' It does not mention exclusions or alternatives, but sibling tools are unrelated, so the guidance is adequate.
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 (auth, marketplace, version, etc.), but 'authenticate' and 'connect' overlap in the authentication/connection space, and the descriptions are verbose enough to clarify, yet some ambiguity remains.
Naming convention is inconsistent: generic lowercase names (authenticate, connect) mix with a long prefixed domain tool (pref_ba_salvador_cnd_consultar) and camelCase (toolkit_info), showing no clear pattern.
With 7 tools, the count is reasonable, but most are platform-level utilities unrelated to the server's stated domain (CND consultation), making the set feel bloated with generic functions.
The domain coverage is severely lacking: only one tool (pref_ba_salvador_cnd_consultar) addresses the core purpose, with no supporting operations (e.g., list certificates, verify status, handle errors) to make it a complete service.