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Glama
Xeron2000
by Xeron2000

generate_images

Generates Xiaohongshu-style images for your project, starting with the cover, then additional pages. Specify page numbers to create specific images on demand.

Instructions

Generate images for a project (cover first, then others). Use the built-in prompt to generate images with Xiaohongshu style.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pagesNoOptional specific page numbers to generate
projectIdYesThe project ID

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.4

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral disclosure burden. It does reveal the built-in prompt, cover-first ordering, and target style, but it says nothing about side effects, persistence, overwriting behavior, or the potentially long-running/costly nature of image generation. This leaves the tool only partially transparent.

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?

Two short sentences with the core action front-loaded. The second sentence repeats 'generate images' but earns its place by specifying the built-in prompt and Xiaohongshu style, so the definition stays tight and scannable.

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?

For a tool with only two parameters, no nested objects, and no output schema, the description is largely complete: it states scope, sequence, prompt source, and style. The main missing piece is what the agent should expect as a result, but schema coverage and sibling clarity keep this from being a major gap.

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% for both parameters, so the baseline is 3. The description's cover-first clause adds an ordering nuance but does not explain how the optional pages array interacts with that ordering or with the built-in prompt, so it adds little real parameter semantics beyond the schema.

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 names the exact action (generate images) and the resource (a project), and adds distinguishing details: cover-first ordering and Xiaohongshu style. This cleanly separates it from the outline and project siblings without needing to open the schema.

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?

It clearly implies when to choose this tool—when project images are needed—and gives explicit operational guidance: use the built-in prompt and generate the cover before other pages. It does not state exclusions or alternatives, but the sibling set makes those unnecessary.

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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