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getTinyImage

Generate a 1x1 PNG test image encoded in base64 to demonstrate image content handling in MCP tool responses.

Instructions

Returns a small test image to demonstrate image content in MCP tool responses.

Returns: A base64-encoded 1x1 PNG image as image content

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the return format ('base64-encoded 1x1 PNG image as image content'), which is useful behavioral context. However, it does not mention other traits like performance, error handling, or dependencies, leaving some gaps in transparency.

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

Conciseness5/5

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

The description is front-loaded with the core purpose in the first sentence, followed by a concise explanation of the return value. Both sentences earn their place by providing essential information without redundancy, making it efficient and well-structured.

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

Completeness4/5

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

Given the tool's simplicity (0 parameters, output schema exists), the description is largely complete, covering purpose and return format. However, with no annotations, it could benefit from more behavioral context (e.g., idempotency or side effects), though the output schema reduces the need for return value details.

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?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately focuses on output semantics, adding value by explaining the return format beyond what the output schema might provide, though it doesn't detail parameters (as there are none).

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

Purpose5/5

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

The description explicitly states the tool's purpose: 'Returns a small test image to demonstrate image content in MCP tool responses.' This clearly specifies the verb ('Returns'), resource ('small test image'), and distinct purpose ('demonstrate image content'), differentiating it from sibling tools like echo or sum that handle text or calculations.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use this tool: for testing or demonstrating image content in responses. However, it does not explicitly state when not to use it or name alternatives among siblings (e.g., getResourceReference might be for other resource types), so it lacks full exclusion guidance.

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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