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create_one_pager_visual_prompts

Read-only

Generates four contextual image prompts for a one-pager: one central visual and one for each of three key points, so an assistant can create and supply 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.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "content": "<content>"
    },
    "name": "create_one_pager_visual_prompts"
  }
}

Input Schema

NameRequiredDescriptionDefault
contentYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.8.0
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observedv0.4.1

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: the tool emits prompts, not images, and the assistant must generate the images itself and feed back local paths. It does not disclose the return format (four prompt strings? written files?) or whether it must be called before or after create_one_pager.

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 sentences, front-loaded with the deliverable count and layout, followed by the division of labor between tool and caller. No filler or restated title. Slightly compressed to the point of omitting needed detail, but the structure itself is efficient.

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

Completeness2/5

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

The tool has a complex nested schema, no output schema, and zero schema-level descriptions, so the description carried the full explanatory burden and covers only the output count and the handoff protocol. An agent still cannot tell which content fields drive each of the four prompts, how callout.imageConcept versus callout.image interact, or what the tool actually returns.

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

Parameters2/5

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

Schema description coverage is 0% on a single deeply nested object with ten required sub-fields plus optional logo, mode, sources, centralVisual, heroImage, useReferenceImage, and imageConcept. The description only gestures at the structure via 'three connected key points' and 'central image', leaving the mapping between the schema's cards/callouts/centralVisual fields and the four prompts entirely undocumented. With coverage this low, the description needed to compensate and does not.

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

Purpose4/5

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

The description states a specific verb and resource: 'Prepare four contextual image prompts' and then enumerates the exact output shape (one central image plus one distinct image above each of the three connected key points). This is clearly distinguishable from siblings like create_central_visual_prompt, which by name alone would only cover the central image. It stops short of naming that sibling explicitly, so the differentiation is implied rather than stated.

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

Usage Guidelines3/5

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

Usage is implied rather than prescribed: it tells the agent that 'the calling assistant generates them separately and supplies the local image paths', which reveals this is a prompt-preparation step in a larger one-pager workflow. There is no explicit when-to-use statement, no exclusion telling the agent not to call it before content exists, and no named alternative for single-image cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.