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pixera_validate_softedge

Validate soft-edge blend setups by checking projector count, overlaps, feed areas, and dynamic options, then flag configuration problems that can break projection-mapping workflows.

Instructions

Validate a soft-edge/blend setup and flag what is wrong for the workflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
overlapsNo
feed_modeNofit
surface_typeNoflat
projector_countYes
dynamic_softedgeNo
feed_areas_enabledNo
all_projectors_selectedNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. 'Validate' and 'flag' imply a read-only diagnostic, but it never states that it is non-destructive, whether it requires an active project/loaded warp, or how results are reported beyond the output schema's existence.

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 tight sentence with no filler and the core purpose front-loaded. Efficiency is good; the problem is missing content, not verbosity.

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?

For a 7-parameter validation tool with zero annotation and zero schema description coverage, the description is far too thin. The output schema helps explain returns, but the semantics of the inputs and the nature of the validation are left to guesswork.

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% across 7 parameters, and the description explains none of them. Critical inputs such as the 'overlaps' numeric array, 'feed_mode', 'surface_type', and the boolean flags like 'dynamic_softedge' are entirely undocumented, so an agent cannot know what values or formats to supply.

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 (validate) and resource (soft-edge/blend setup) plus an outcome (flag what is wrong). It is distinguishable from siblings like pixera_validate_feed_mode, though 'what is wrong for the workflow' is vague about what checks are actually performed.

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 guidance on when to run this versus pixera_validate_feed_mode, pixera_recommend_calibration_method, or pixera_diagnose, despite heavy overlap (a feed_mode parameter even exists here). No prerequisites or when-not-to-use conditions are given.

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