get_org
Fetch organization details by ID to support dock scheduling, appointments, and warehouse operations.
Instructions
Get details for an organization
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Organization ID |
Fetch organization details by ID to support dock scheduling, appointments, and warehouse operations.
Get details for an organization
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Organization ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It states the read operation ('get details') but does not disclose any potential behavioral traits such as required permissions, data sensitivity, or response size.
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, front-loaded sentence that conveys the essential purpose with zero waste. It is appropriately concise for a simple read tool.
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?
The tool has only one parameter and no output schema. The description sufficiently explains the operation, though it could mention that the return value contains organization details. Overall adequate for a basic getter.
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 input schema covers 100% of parameters with clear descriptions (id: 'Organization ID'). The description adds no extra meaning beyond the schema, making the baseline score appropriate.
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 'get details for an organization' uses a specific verb 'get' and resource 'organization', clearly distinguishing it from sibling tools that operate on other entities like appointments, carriers, warehouses, etc.
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 explicit guidance on when to use this tool vs alternatives (e.g., get_company, get_warehouse). While the resource name clarifies the target, it does not mention context or conditions for use.
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/Pollamin/opendock-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server