get_home_chart
Retrieve training volume chart data for your home dashboard.
Instructions
Get training volume chart data.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| timezone_offset | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Retrieve training volume chart data for your home dashboard.
Get training volume chart data.
| Name | Required | Description | Default |
|---|---|---|---|
| timezone_offset | No |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden but only states a generic action. It does not disclose behavioral traits like data freshness, auth needs, or side effects.
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?
Very concise at 5 words, but it sacrifices informativeness. Could be improved with a bit more detail without becoming verbose.
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 tool has an output schema and one parameter, the description is insufficient. It doesn't explain the chart data scope or the timezone parameter's role, leaving the agent underinformed.
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%, and the description adds no meaning to the sole parameter 'timezone_offset'. The agent gets no help on what this offset does or how to use it.
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 verb 'Get' and the resource 'training volume chart data', which is specific. However, it does not differentiate from siblings like 'get_home_summary' or 'get_training_history', which could overlap.
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?
No guidance on when to use this tool vs alternatives. Lacks context such as prerequisites or typical use cases, making it hard for the agent to decide.
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/dcaslin/boostcamp-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server