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 readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description adds the behavioral instruction to include the conversation array for reproduction, which is useful context beyond the annotations. However, it does not disclose potential side effects like data transmission or privacy implications, so it earns a mid-range score.
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 sentence of 15 words, front-loaded with the core purpose. Every word earns its place, with no extraneous detail or repetition of schema fields.
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 only three parameters and no output schema, the description covers the main purpose and one key parameter. However, it leaves the 'context' parameter unexplained and does not mention what happens after reporting. This is adequate but has clear gaps.
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 for parameter meaning. It directly explains the 'conversation' parameter and implies the 'message' parameter holds the report content. However, the 'context' parameter is left unexplained, and the format of the conversation (e.g., JSON string) is not clarified, so compensation is partial.
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 action verb ('Report') and explicitly names the resources (bug, missing feature, feedback), making its purpose unambiguous. It clearly distinguishes itself from sibling tools like authenticate or marketplace, which serve entirely 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?
The description clearly implies when to use this tool: when encountering a bug, missing feature, or wanting to send feedback. It stops short of explicitly excluding alternatives, but none of the sibling tools are similar, so the context is sufficient.
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 systematically distinct (authenticate, connect, marketplace, etc.), but the marketplace tool bundles many sub-actions that overlap with standalone tools like report_bug and with authentication concerns. The single CNDT tool is clearly different, yet the mix of platform management and domain-specific tools can cause confusion about intended usage.
Names mix single verbs, noun phrases, and a prefixed 'tst_' among the domain tool, with no consistent verb_noun pattern. This is further complicated by 'marketplace' being a noun while others like 'connect' and 'authenticate' are verbs.
Seven tools falls within the recommended range, but the majority are generic platform utilities that seem unrelated to the CNDT (labor debt certificate) purpose. One domain-specific tool and six platform tools suggests the count is more about platform infrastructure than the server's stated mission.
The CNDT workflow is covered by a single query tool, and the supporting tools for authentication and payment exist, so basic usage is possible. However, there is no history, batch query, or administrative functionality, and the platform tools do not directly enhance the CNDT domain, leaving a thin surface for the server's apparent purpose.