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ImageAPIAI

ImageAPI AI MCP Server

Official
by ImageAPIAI

get_history

Access a complete list of all AI image generations from your ImageAPI account. Review past creations and track your generation history for easy reference.

Instructions

Retrieve a list of all historical AI image generations associated with your ImageAPI account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description must carry the transparency burden. It does state a read-only action ('Retrieve') and the scope ('all historical'), but it does not disclose potential pagination, result ordering, response format, or any rate limits. This is adequate for a simple list operation but leaves some behavioral gaps.

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 a single, front-loaded sentence that states the action, resource, and scope without extraneous words. Every word is informative.

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 (no parameters, no output schema), the description is complete enough to understand the tool's function and how it differs from siblings. It tells the user exactly what will be returned—a list of historical generations. It could mention the structure of each generation entry, but that is not critical for an AI agent selecting the 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?

The tool has zero parameters and schema coverage is 100%, so there is no parameter ambiguity. The description adds the useful context that the history is 'all' and account-wide, which complements the empty schema. Baseline for a no-parameter tool is met.

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 uses a specific verb 'Retrieve' with a clear resource, 'historical AI image generations,' scoped to the user's account. It clearly distinguishes this from sibling tools like generate_image and refine_image by focusing on viewing history rather than creating or modifying.

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 clearly implies the tool is for viewing past generations, and sibling names (generate_image, refine_image) reinforce the contrast. However, it does not explicitly mention when not to use it or name alternative tools.

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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