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genart-dev

genart-mcp

by genart-dev

series_summary

Capture all sketches in a series with narrative context for holistic evaluation. Generate screenshots and previews of every sketch to review a generative art series as a whole.

Instructions

Capture all sketches in a series with narrative context for holistic evaluation

Input Schema

NameRequiredDescriptionDefault
seriesIdYesID of the series to summarize
previewSizeNoPreview image size in pixels (default: 300)
captureScreenshotsNoCapture screenshots of each sketch (default: true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

C2.6/5.0
Behavior2/5

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 does not state whether the tool is read-only or produces files/screenshots, what 'narrative context' entails, how a series with zero sketches is handled, or what it returns. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

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?

A single efficient sentence with no filler. It is front-loaded with the verb and scope, though the phrasing ('narrative context', 'holistic evaluation') is vague rather than informative.

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?

With no output schema and no annotations, the description needs to explain what the tool returns (a summary text? screenshots?) and any side effects. It does none of that, so an agent cannot predict the outcome of calling it.

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%, so all three parameters are documented in the schema itself. The description only implies that all sketches in the series are affected; it adds no meaning about previewSize or captureScreenshots beyond what the schema already provides, so baseline 3 is appropriate.

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?

It names a verb (capture) and resource (all sketches in a series) plus a purpose (holistic evaluation), but 'capture with narrative context' is ambiguous — it is unclear whether the tool returns image snapshots, a written summary, or both. The name series_summary and the verb 'capture' pull in different directions, leaving the actual output unclear.

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?

There is no guidance on when to use this versus close siblings like compare_sketches, critique_sketch, capture_batch, or capture_screenshot. No prerequisites, no exclusions, no workflow context about when a series-level summary is appropriate.

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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