Skip to main content
Glama
BACH-AI-Tools

LinkedIn Bulk Data Scraper

random_dog_image

Fetch a random dog image to use as a placeholder or for testing data extraction workflows.

Instructions

Returns dog image

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description must disclose behavior. It fails to mention if the image is random, fetched from an API, or any side effects like network calls. Only states returns a dog image.

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

Conciseness3/5

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

Extremely concise single sentence, but underspecified. It is not verbose but lacks necessary detail for effective tool usage.

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?

Given no annotations or output schema, the description should detail the return type (URL, blob, etc.) and format. It only says 'dog image', leaving ambiguity. Incomplete for a data-returning tool.

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

Parameters4/5

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

No parameters exist, so the schema is fully covered. The description adds no additional meaning but is adequate for a parameterless tool.

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

Purpose3/5

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

The description 'Returns dog image' clearly states the verb and resource, but it is very generic and does not distinguish from sibling tool 'random_dog_image_1' or other image-related tools. It lacks specifics like source or randomness.

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 on when to use this tool vs alternatives. Sibling tools include dog_fact, cat_facts, etc., but there is no indication of selection criteria or context.

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/BACH-AI-Tools/bachai-linkedin-bulk-data-scraper'

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