dog_api_random_image
Retrieve a random dog image from The Dog API for testing, demos, or AI agent workflows.
Instructions
Get a random dog image from The Dog API.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve a random dog image from The Dog API for testing, demos, or AI agent workflows.
Get a random dog image from The Dog API.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.1.11Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds nothing beyond attribution — it doesn't say what is returned (image URL vs. binary), that results are non-deterministic, or whether any external network/auth dependency exists.
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?
A single front-loaded sentence with zero filler. Nothing to trim.
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?
For a trivial no-param fetch this is almost sufficient, but with no output schema the description should state what comes back (an image URL) and it should disambiguate from dog_random_image. As written, an agent can call it but cannot predict the response shape.
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 takes zero parameters, so the baseline of 4 applies; the schema fully documents the empty object and there is nothing for the description to clarify.
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?
States a specific verb and resource ('Get a random dog image') and names the upstream source ('The Dog API'), which is what separates it from the very crowded random-image family. It does not, however, distinguish itself from near-identical siblings such as dog_random_image or dog_breed_image.
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?
There is no guidance on when to pick this over dog_random_image (a nearly identical sibling), dog_breed_image, cat_api_random_image, or shibe_random_image. The agent is left to guess from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.