Atomadic MCP

Render Polyglot Roundtrip Pure

render_polyglot_roundtrip_pure

Read-onlyIdempotent

[Fuse product · entitlement: fuse · FREE_R2_DEMO] Syntax-as-Data polyglot render head: source -> language-neutral logic IR -> source in target language. Canonical demo examples baked to R2 (4 examples × 12 languages). Live emit of novel inputs via the SDK.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "source_text": "<source_text>",
      "atom_name": "<atom_name>"
    },
    "name": "render_polyglot_roundtrip_pure"
  }
}

Input Schema

Name	Required	Description	Default
`language`	No
`atom_name`	Yes
`source_text`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 17, 2026

TDQS

B3/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds entitlement and demo/live behavior context, but does not describe the output shape, failure behavior, or what atom_name controls.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the core transformation, but the bracket prefix and dense jargon ('Syntax-as-Data polyglot render head', 'R2') consume space without adding clarity for an agent.

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 0% schema description coverage, the description should explain the three parameters and the expected output. It leaves atom_name undefined, does not specify target language identifiers, and says nothing about the rendered result, making it incomplete for a callable rendering tool.

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 three undocumented parameters. It hints that source_text is the source and language is the target language, but atom_name is completely unexplained and no parameter formats or allowed language values are given.

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?

The description states a specific transformation pipeline: source -> language-neutral logic IR -> source in target language, which is more than a tautology. It does not distinguish this tool from the sibling render_polyglot_all_pure, and jargon like 'Syntax-as-Data polyglot render head' slightly obscures the purpose.

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 implied by the pipeline description and the note that canonical demo examples are baked while novel inputs are emitted live. It does not explicitly say when to use this instead of render_polyglot_all_pure or other siblings, nor does it state prerequisites or exclusions beyond the entitlement tag.

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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