Get Tiny Image Tool
get-tiny-imageRetrieve a tiny MCP logo image to embed in UIs, documentation, or prototypes.
Instructions
Returns a tiny MCP logo image.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get-tiny-imageRetrieve a tiny MCP logo image to embed in UIs, documentation, or prototypes.
Returns a tiny MCP logo image.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the resource type (image) but does not disclose additional behavioral details such as output format or if any network call occurs.
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?
The description is a single, focused sentence with no wasted words, making it optimally concise and easy to parse.
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 zero-parameter tool with no output schema, the description fully communicates its purpose. There are no missing prerequisites, side effects, or complex behaviors to document.
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?
With zero parameters and 100% schema coverage, there is no parameter information needed. The description appropriately focuses on the output rather than parameter details, and the baseline of 4 is warranted.
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?
The description uses a specific verb ('Returns') and identifies the exact resource ('tiny MCP logo image'), making the tool's purpose immediately clear. It is distinct from sibling tools, which serve different functions.
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?
The description implies the tool should be used when a tiny MCP logo image is needed, but it provides no explicit context or exclusions. Sibling tools are not mentioned, and there is no guidance on when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/llmops-pro/paywall-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server