Skip to main content
Glama

report_bug

Idempotent

Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNo
messageYes
conversationNo[]

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description adds the behavioral instruction to include the conversation array for reproduction but does not explain side effects, whether a ticket is created, or any asynchronous behavior. Given the annotations cover the safety profile, this is adequate but not rich in behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with no fluff. It front-loads the purpose and provides a concise usage instruction. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple feedback tool with 3 parameters and no output schema, the description is reasonably complete. It states what it does and gives a key usage hint. However, it could elaborate on the format of the conversation string and clarify that 'context' is optional, but given the tool's simplicity and existing annotations, it is adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema's description coverage is 0%, so the description must compensate. It mentions the 'conversation array' but does not explain that the 'conversation' parameter is a JSON array string (default '[]'), nor does it explain the 'context' parameter. It only hints at the required 'message' parameter implicitly. This leaves significant ambiguity about parameter formats and purposes.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

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.' It uses a specific verb ('report') and resource (bug/feature/feedback), and it distinguishes itself from sibling tools since none others handle reporting or feedback. The instruction to include the conversation array adds specificity for reproduction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use the tool (for bugs, missing features, or feedback). It also provides a usage hint: 'Include the conversation array with recent messages for reproduction.' It does not explicitly say when not to use it or mention alternatives, but among siblings there is no obvious alternative, so the guidance is clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

C2.8/5.0
Disambiguation2/5

Several tools have overlapping purposes, particularly the wearable data tools (dietaai_libre_data, dietaai_sibionics_data, dietaai_sibionics_glucose) and the diary-related tools (dietaai_diary, dietaai_diary_logs, dietaai_diary_scheme). The distinctions are subtle and may confuse agents.

Naming Consistency2/5

The naming is inconsistent: many tools use the 'dietaai_' prefix with noun-based names, while others like 'authenticate', 'connect', 'marketplace', 'report_bug', 'show_version', and 'toolkit_info' break the pattern entirely. The mix of English and Portuguese further reduces consistency.

Tool Count3/5

With 19 tools, the server is on the higher end of the typical range. While it covers a broad domain (diet tracking, wearable integrations, marketplace), the count is borderline and could feel heavy.

Completeness3/5

The server focuses heavily on reading data (profiles, diary, foods, goals, wearable data) but lacks obvious write operations like updating goals, deleting diary entries, or modifying user settings. The single log tool (dietaai_log) is the only write path, leaving notable gaps for a full lifecycle.