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render_snapshot

Generate a native PNG snapshot of an LS-PrePost model; set view, state, and fringe code to capture d3plot results.

Instructions

Render a native PNG. Fringe codes require d3plot/state; shell layer and averaging retain native defaults, not user-specified overrides.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNoisometric
modelYes
stateNo
file_typeNokeyword
fringe_codeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It discloses one prerequisite ('Fringe codes require d3plot/state') and one default-retention behavior, which is useful, but it omits side effects such as file creation, overwrite behavior, output location, and error conditions.

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?

The description is two sentences with the action front-loaded and no filler. The second sentence is dense and somewhat cryptic, but the overall length is appropriate and every sentence carries relevant information.

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 tool with five parameters, no annotations, no output schema, and 0% schema description coverage, the description is far too sparse. It gives a few behavioral constraints but omits critical invocation context such as what model types are valid, what view or file_type values mean, and what the rendered PNG is of.

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%, so the description must compensate for five undocumented parameters. It adds partial meaning for 'fringe_code' and 'state' via the d3plot/state requirement, but it leaves the required 'model' parameter, 'view', and 'file_type' unexplained and introduces 'shell layer' and 'averaging' without tying them to schema fields.

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?

The description states the output type ('native PNG') and uses a specific verb ('Render'), but it never says what is being rendered (model, view, simulation result). It does not distinguish the tool from siblings such as extract_nodal_results or inspect_model, leaving the object of the render ambiguous.

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 explicit when-to-use or when-not-to-use guidance, and no alternative tools are named. The only conditional statement is a behavioral prerequisite for fringe codes, not usage context relative to sibling tools.

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