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shibe_random_image

Read-onlyIdempotent

Fetch random Shiba Inu, cat, or bird images by type and count (1-10) to supply varied visuals for AI agent and browser automation tasks.

Instructions

Get random Shiba Inu, cat, or bird images.

Input Schema

NameRequiredDescriptionDefault
typeNoImage type: shibes, cats, or birds (default shibes)
countNoNumber of images (1-10, default 1)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.11

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, destructiveHint=false, openWorldHint and idempotentHint, so the safety profile is fully structured. The description adds nothing beyond that: no return format, no image size/aspect, no rate-limit or source API behavior. (Note the idempotentHint=true sits oddly with 'random', but that inconsistency lives in the annotations, not in the description.)

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?

One short sentence, front-loaded with the verb and the resource, with zero filler. It is efficient but so terse that it leaves obvious gaps a slightly longer sentence could have filled.

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

Completeness3/5

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

For a 2-optional-parameter, fully documented read-only tool this is adequate. However, with no output schema, the description never tells the agent what comes back (image URLs, an array for count>1), which is the one piece of information an agent cannot get elsewhere.

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?

Schema description coverage is 100%, with both `type` (values and shibes default) and `count` (1-10, default 1) fully documented. The description names the three image kinds consistent with `type` but adds no syntax or behavioral nuance beyond the schema, so the baseline 3 applies.

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?

States a specific verb and resource ('Get random Shiba Inu, cat, or bird images'), so the agent knows exactly what it returns. It does not distinguish itself from near-identical siblings such as cat_api_random_image, dog_random_image, or random_fox_image, leaving ambiguity about which image tool to pick.

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?

There is no when-to-use guidance and no mention of alternatives, despite the sibling list containing several overlapping random-animal-image tools. Usage is only inferable from the tool name itself.

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

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