skill_stats
Retrieve today's call statistics summary from Mango Office cloud PBX to review call activity and performance metrics.
Instructions
Статистика звонков за сегодня — сводка.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve today's call statistics summary from Mango Office cloud PBX to review call activity and performance metrics.
Статистика звонков за сегодня — сводка.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'summary' without detailing what the output includes, whether it requires authentication, or any side effects. This is minimal disclosure for a tool that likely returns data.
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 extremely concise — a single short sentence. It is front-loaded and avoids filler. However, it might be too terse, missing useful elaboration on what constitutes the summary.
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?
Given the low complexity (no params, no output schema), the description is still incomplete. It does not clarify what the summary contains, how it relates to other tools like get_stats, or any practical usage details. An agent would lack sufficient context to choose this tool confidently.
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 tool has zero parameters, so the baseline score is 4. The description does not need to explain parameter semantics since there are none, and the schema is empty.
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: call statistics for today as a summary. It names the resource (calls) and scope (today). However, it does not differentiate from sibling tools like 'get_stats' which might also provide statistics; the precise difference is left ambiguous.
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 provides no guidance on when to use this tool versus alternatives (e.g., get_stats, get_calls). There is no mention of context, prerequisites, or exclusions. An agent would have to infer the intended use case from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/theYahia/mango-office-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server