Skip to main content
Glama

Get Employee Photo

get-employee-photo

Retrieve an employee's photo by ID from BambooHR, selecting from sizes original, large, medium, small, xs, or tiny.

Instructions

Get an employee photo by size

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeNoPhoto sizemedium
employeeIdYesThe employee ID to get the photo for
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full transparency burden, but it merely restates the tool's purpose. It fails to disclose response format (e.g., binary image vs URL), behavior for missing photos, or any permissions needed, making it nearly information-free beyond the name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, readable sentence with no redundancy. It is appropriately concise for a simple tool, though the brevity contributes to under-specification in other dimensions.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Without an output schema or annotations, the description must explain return behavior and edge cases, but it does not. It is unclear whether the tool returns raw image data, a download URL, or something else, leaving the agent under-informed for a complete invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already provides 100% coverage with clear descriptions for both employeeId and size. The description adds no extra semantic value beyond schema, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool fetches an employee photo, with 'get' as the verb and 'employee photo' as the resource. It is easily distinguishable from sibling tools like get-employee or get-employee-directory, though it does not explicitly mention returning image data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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. The description simply says 'by size' without explaining any prerequisites, exclusions, or comparison to other employee-related tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lovelight-code/bamboohr-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server