Get Jobber Account
jobber_accountIdentify the connected Jobber account by retrieving its ID and name.
Instructions
Return the connected Jobber account id and name.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
jobber_accountIdentify the connected Jobber account by retrieving its ID and name.
Return the connected Jobber account id and name.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description must disclose behavioral traits. It only states what is returned but does not mention that the tool is read-only, requires authentication, or any potential failure modes. For a tool with no annotations, this is insufficient.
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 sentence of ten words, very concise. However, it is minimal and could include more context (e.g., 'for the currently authenticated user') without significant bloat.
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 that there are no input parameters and no output schema, the description is adequate but minimal. It states the return value but does not mention the output format, potential errors, or that it depends on authentication. For a simple tool, it is complete enough for basic use but lacks detail.
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 baseline is 4. The description adds no parameter information, but none is needed. Schema coverage is 100% trivially.
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 returns the connected Jobber account id and name. The verb 'Return' and resource 'account id and name' are specific, and the tool is easily distinguishable from siblings like jobber_auth_url or jobber_clients_sample.
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. It does not specify if authentication is required or mention any prerequisites. The description lacks explicit context for appropriate usage.
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/opsconduit/jobber-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server