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miracorhan

Open Google Image Generator MCP

by miracorhan

tool_run_pipeline

Chain image processing steps sequentially, using each step's output as the next input to generate, edit, transform, upscale, or remove image backgrounds in one run.

Instructions

Chain image processing steps sequentially. Each step's output becomes the next step's input. Supported tools: generate, edit, transform, upscale, remove_background. Example: generate → remove_background → upscale.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.3.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses the chaining data-flow model and enumerates supported tools, but says nothing about failure behavior mid-pipeline, whether it is a write/destructive operation, permissions, latency/cost, or what the return value is. Core semantics are covered; operational behavior is not.

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?

Four short lines, front-loaded with the core mechanic, then supported tools, then a concrete example. Every sentence carries information with no filler. Slightly more could be trimmed, but the structure is efficient and scannable.

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 an orchestration tool with a nested steps model, no annotations, and no output schema, the description covers the chaining concept and valid tools but leaves out error handling, output/return expectations, and constraints on step composition. An agent could invoke it, but not without inference on failure and output behavior.

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 reported as 0%, so the description must compensate. It does supply the valid tool names ('generate / edit / transform / upscale / remove_background'), but that list is also present in the schema's `tool` field, and the description never explains the `steps`, `output_path`, or `output_filename` semantics or how per-step `params` should be shaped. Partial compensation only.

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 and resource ('chain image processing steps sequentially') and clarifies the data flow ('each step's output becomes the next step's input'). It names the supported operations, which map onto sibling tools, so an agent can distinguish this orchestration tool from single-op siblings. It stops short of explicitly contrasting itself with those siblings, so a 4 rather than a 5.

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 only implied via the example ('generate → remove_background → upscale'), which shows the chaining pattern without stating when to choose this tool over calling the individual step tools. No when-not guidance, prerequisites, or alternative routing is given. Adequate but with clear gaps.

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