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Glama

aaddyy_prompt_maker

Converts text in any language into clean, precise English prompts for AI image creation or editing, helping agents prepare clear visual instructions.

Instructions

Convert your natural language (any language) into a clean, precise English prompt for image creation or image editing. (~3 credits)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYes
textYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.2

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses a cost signal (~3 credits) and the nature of the transformation (any language to clean English), but says nothing about return format, latency, or failure behavior.

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?

Two tight clauses, front-loaded with the core transformation and ending with the cost note. Nothing is wasted.

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

Completeness3/5

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

For a 2-parameter tool with no annotations, no output schema, and 0% schema description coverage, the description covers the essentials of what goes in and what comes out at a high level. It still leaves the mode parameter's required state and the exact output form unstated.

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 coverage is 0%, so the description must compensate and only partially does. It explains the text parameter (natural language in any language) and hints at the mode enum by naming 'image creation' and 'image editing', but does not state that mode is required or enumerate its exact accepted values.

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?

States a specific verb (Convert) and resource (natural language into an English prompt) with the scope of use (image creation or image editing). However, it never distinguishes itself from the near-identical sibling aaddyy_image_prompt_creator, so an agent cannot tell the two apart from the text alone.

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?

Usage is only implied by the tool's purpose. There is no guidance on when to use this versus aaddyy_image_prompt_creator, aaddyy_image_generator, or aaddyy_ghibli_generator, nor any prerequisite or exclusion stated.

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