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chieflab_skip_next_move

P142 — founder rejects a next-move recommendation without doing it. Captures a reason so the brain learns which kinds of moves don't fit this workspace (e.g. 'we don't cross-post to Reddit on principle' / 'we tried DMs already'). Flips action to rejected with metadata.skipReason. The next-move generator reads recent skip reasons before suggesting moves of the same kind on this workspace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNoWhy the founder is skipping this. Used by the brain to avoid suggesting similar moves.
actionIdYesThe next-move action id.
workspaceIdNoOptional workspace id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations provided, the description carries full behavioral disclosure. It reveals the side effect (flips action to rejected with metadata.skipReason) and explains the feedback loop to the brain. This goes beyond the bare minimum and is genuinely transparent about state changes and future behavior.

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?

The description is three sentences, each serving a purpose: stating the action, explaining the reason capture, and describing the effect. It is front-loaded and contains no filler.

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

Completeness4/5

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

The tool is simple (3 params, no output schema), and the description covers its purpose, side effects, and downstream usage. It does not address edge cases like invalid actionId, but given the low complexity, the description is nearly complete.

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 each parameter already has a description. The tool description adds context for the 'reason' parameter with examples of appropriate reasons, but it doesn't significantly extend the meaning of actionId or workspaceId. Baseline 3 is appropriate.

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 states a specific verb ('rejects') and resource ('next-move recommendation'), and clearly differentiates from sibling tools like approve or execute actions. It explicitly notes the action is not done and flips to rejected, leaving no ambiguity about its purpose.

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

Usage Guidelines4/5

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

The description clearly indicates when to use the tool: when a founder rejects a next-move recommendation. It explains the downstream effect on the generator, which implies the value of capturing reasons. However, it doesn't explicitly name alternatives or state when not to use it, though the context is clear.

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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