get_linkedin_url
Obtain the LinkedIn URL for candidate Jake Gaylor to view his profile and professional details.
Instructions
Get the LinkedIn URL of the candidate Jake Gaylor
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Obtain the LinkedIn URL for candidate Jake Gaylor to view his profile and professional details.
Get the LinkedIn URL of the candidate Jake Gaylor
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It only states the basic function without disclosing side effects, error behavior, or response format. Minimal transparency.
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?
Single sentence, no waste. Every word is necessary and immediately conveys the purpose.
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?
While the description is clear for a specific candidate, it does not explain why the tool is hardcoded to Jake Gaylor or how it behaves if used for other candidates. Given no output schema, more context on return values would help.
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?
There are no parameters, and schema coverage is 100% (empty). Per guidelines, 0 parameters gets a baseline of 4. The description adds no param info, but none is needed.
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 'LinkedIn URL of the candidate Jake Gaylor', which distinguishes it from siblings that retrieve different resources (e.g., resume, GitHub).
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 is provided on when to use this tool versus alternatives like get_github_url or get_resume_url. The agent receives no context about selection criteria.
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/jhgaylor/ai-jakegaylor-com'
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