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record_loop_insight

Record current architecture insights to .github/insights/loop-improver-mcp.md, improving repository guidance by documenting improvements, pruning candidates, and reusable learnings.

Instructions

Write the current architecture insight to .github/insights/loop-improver-mcp.md.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
improvedYes
repo_pathYes
prune_candidatesNo
reusable_learningsNo
agent_self_improvementNo
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It only states that it writes to a file, but omits details like whether it overwrites or appends, required permissions, or side effects. This is inadequate for a mutation tool.

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 concise at one sentence, but it is too vague for the tool's complexity. It is front-loaded with the basic purpose, but lacks necessary details, making it under-specified rather than efficiently concise.

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

Completeness1/5

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

Given the tool has 6 parameters, no output schema, and no annotations, the description is severely incomplete. It does not mention return values, parameter meanings, or behavioral expectations, leaving the agent without enough information to use the tool correctly.

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

Parameters1/5

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

With 0% schema description coverage, the description adds no meaning to the six parameters. It does not explain what each parameter (e.g., title, improved, repo_path) represents or how they relate to the 'current architecture insight'. The agent would be confused about how to fill in fields.

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 verb 'Write' and the resource 'current architecture insight' to a specific file path. This distinguishes the tool from siblings compare_loops and improve_loop, which likely have different purposes.

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?

The description lacks any guidance on when to use this tool versus alternatives. It does not mention prerequisites, context, or exclusions, leaving the agent to infer usage from the tool's name and purpose alone.

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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