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create_one_pager_visual_prompts

Read-only

Generate four contextual image prompts for a one-pager: a central hero image and three supporting images for key points, using local image paths.

Instructions

Prepare four contextual image prompts: one central image and one distinct image above each of the three connected key points. The calling assistant generates them separately and supplies the local image paths.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes

Schema Changelog

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

  1. First observedv0.4.1

TDQS

C2.2/5.0
Behavior3/5

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

Annotations already mark readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds that the assistant generates images separately, implying this tool only prepares prompts, but it does not disclose what the tool actually returns or any side effects. This adds some context but leaves behavior ambiguous.

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

Conciseness2/5

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

The description is short (two sentences) but not efficient—it focuses on structure rather than purpose or usage. It lacks front-loaded key information such as what the tool returns or how to use it, making the brevity counterproductive.

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

Completeness1/5

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

Given the tool's complexity (a single required object with many nested required fields) and no output schema, the description is grossly inadequate. It fails to explain the relationship between the content fields and the four prompts, what the tool outputs, or any usage context, leaving the agent unable to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description does not mention the sole 'content' parameter at all. The agent receives no guidance on how to populate the large, heavily nested content object, which is critical for using the tool. The description's mention of 'four contextual image prompts' is too indirect to map to the schema fields.

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

Purpose3/5

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

The description states a verb and resource ('Prepare four contextual image prompts') and outlines the structure (central image plus one per key point), which distinguishes it from sibling create_central_visual_prompt. However, 'prepare' is vague and does not clarify whether the tool generates, formats, or stores prompts, nor how the content parameter feeds into this.

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?

No explicit guidance on when to use this tool versus alternatives like create_central_visual_prompt. The sentence about the calling assistant generating images separately implies a workflow step but does not state selection criteria or prerequisites.

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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