help
Retrieve the learned schema of a CLI command to understand its structure and usage.
Instructions
Returns learned schema of cli.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cmd | Yes |
Retrieve the learned schema of a CLI command to understand its structure and usage.
Returns learned schema of cli.
| Name | Required | Description | Default |
|---|---|---|---|
| cmd | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It only states it returns something, but does not disclose any side effects, permissions, or whether this is a read operation. Agent gets no insight into behavior.
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 underspecified sentence. While short, it lacks necessary detail, making it ineffective rather than 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?
With one parameter, no output schema, and no annotations, the description is extremely incomplete. Missing return format, examples, and parameter details leaves the agent with insufficient information to use the tool correctly.
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?
Parameter 'cmd' is only defined by type in schema (0% coverage). The description adds no explanation of what 'cmd' represents or acceptable values, leaving the agent to guess.
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 states 'Returns learned schema of cli' which indicates a return operation on a schema resource, but 'learned schema' and 'cli' are ambiguous. It does not clearly distinguish from sibling tools 'add' and 'run'.
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 versus alternatives like 'add' or 'run'. The description lacks context for appropriate usage scenarios.
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/mlaugharn/cli-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server