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myco_winnow

Validate a craft proposal's structure against required rounds, sections, and frontmatter keys. Returns pass/fail verdict and violation details.

Instructions

Gate a docs/primordia/ craft proposal against the craft protocol shape: 3 (or 5) rounds present, required sections (Claim / Self-Rebuttal / Revision / Counter-Rebuttal / Reflection) populated, frontmatter keys complete, body is not mostly template boilerplate (> 40% boilerplate triggers G6), etc. Returns pass/fail verdict and specific violations.

Use this: after fruit scaffolds a craft doc and the agent fills in the tensions and revisions — winnow tells whether the proposal has enough substance to land. Do NOT use winnow as a content quality check (it checks STRUCTURE, not whether the argument is good). For content review, human judgment still applies.

Side effects: none. Pure read.

Returns: { exit_code, proposal, verdict: 'pass'|'fail', round_count, body_chars, violations: [ { gate, message } ], frontmatter_keys }. exit_code 0 on pass, 1 on fail. Agents typically fix violations and re-winnow until pass before declaring a craft 'LANDED'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
proposalYesPath to the craft proposal markdown under docs/primordia/ (relative to substrate root or absolute). Must exist and be a valid markdown file with a craft-shaped YAML frontmatter block. Winnow reads but does not modify the file; post-winnow, the agent edits to address violations and re-runs winnow.
project_dirNoAbsolute path of the workspace / project whose Myco substrate this call targets. Overrides auto-discovery. When omitted, Myco resolves via MCP roots/list, then MYCO_PROJECT_DIR, then cwd — the substrate_pulse field in every response echoes which source answered.
Behavior4/5

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

No annotations provided, but the description discloses side effects (none, pure read), return format (exit_code, verdict, violations), and that it does not modify the file. Missing potential error conditions but sufficient for safe use.

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

Conciseness5/5

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

Well-organized with clear sections: main action, usage context, side effects, return details. Every sentence adds value; front-loaded with key purpose. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given complexity, the description covers purpose, when/not to use, side effects, return format, and parameter semantics. No output schema exists, but return structure is described. Complete for an agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema coverage is 100%, baseline 3. Description adds value by explaining the proposal path is a markdown file, that winnow reads only, and post-winnow agent edits and re-runs. This goes beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool gates a craft proposal against the craft protocol shape, checking structure aspects like rounds, sections, frontmatter, and boilerplate. It distinguishes itself from content review and sibling tools like myco_fruit, myco_graft.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says when to use (after scaffolding and filling tensions/revisions) and when not to use (not for content quality, human judgment needed). Provides clear context for agent decision-making.

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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