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memory_skill_feedback

Propose a skill/playbook rewrite from a human-approved draft vs kept.

Stores the pair as a pending rewrite. The live skill does not change. A human accepts or rejects the proposed diff in the console; accept writes vN+1 through the existing setter. Never auto-overwrites.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keptNoHuman-kept / live body snapshot. Default: current live body
kindNoskill (atomic how-to) or playbook (composed flow)skill
nameYesSkill or playbook name that ran
noteNoWhy this rewrite, or the human-approved result summary
agentNoOverride agent identity
draftYesProposed new body_md (skill) or steps_md (playbook)
extraNoProposed extras: tool_hints/tags (skill) or tool_recipe/tags (playbook)
originYesWho proposed the rewrite: agent, human, or curator
descriptionNoProposed one-line summary

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses the key traits: the operation is non-destructive, the diff is pending human approval, acceptance writes vN+1 through the existing setter, and it never auto-overwrites. This is strong coverage of the tool's most important behavioral risks.

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 compact and front-loaded: the purpose appears in the first sentence, followed by the lifecycle and safety guarantees. Every sentence adds necessary information with no filler or repetition.

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?

For a 9-parameter tool with no annotations and an output schema, the description covers the essential workflow: pending rewrite, human approval, version bump, and no auto-overwrite. The schema covers parameter details and the output schema covers return values. A minor gap is that it never explicitly routes the agent to the direct setter tools for cases where a pending rewrite is not desired.

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 the schema already documents all 9 parameters. The description adds useful framing around the draft-vs-kept relationship and the human-approval flow, but it does not add per-parameter meaning beyond what the schema provides, so the baseline of 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 opens with a specific verb and resource: 'Propose a skill/playbook rewrite'. It further clarifies the exact scope by stating the pair is stored as a pending rewrite and that the live skill does not change, which clearly distinguishes it from direct setters like memory_skill_set.

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 makes the usage context clear: it is for human-approved drafts that need human acceptance/rejection, and it explicitly says the live skill does not change. However, it does not name sibling tools like memory_skill_set or memory_playbook_set as the direct-write alternatives, so the when-not-to-use guidance is implied rather than explicit.

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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