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Project Backfill

localnest_project_backfill
Idempotent

Scan a directory for projects and create seed memory entries for those without existing memories. Preview with dry run mode.

Instructions

Scan a directory for projects and create seed memory entries for those with zero existing memories. Detects package.json, Cargo.toml, go.mod, pyproject.toml, pom.xml, build.gradle, and .git. Use dry_run=true to preview without writing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
root_pathYes
dry_runNo
response_formatNojson

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
metaYes
Behavior4/5

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

Annotations indicate idempotent and non-destructive. The description adds value by detailing the scanning behavior, the condition for seed creation (zero existing memories), and the specific project files detected. No annotation contradiction.

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?

Two tightly written sentences that front-load the core action (scan and create) and follow with a key usage note. No redundant words.

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?

Given the tool has 3 parameters (1 required), an output schema, and no nested objects, the description covers the primary purpose and dry run usage. Lacks an explanation of what 'seed memory entries' entails, but is otherwise adequate for a focused tool.

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 coverage is 0%, so the description bears the explanatory burden. It explains root_path (directory) and dry_run (preview flag), but does not mention response_format. This partial coverage is adequate but not complete.

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 scans a directory for projects and creates seed memory entries for those with zero existing memories, listing detectable file types. This specific verb-resource combination distinguishes it from siblings like localnest_list_projects or localnest_index_project.

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 explicitly advises using dry_run=true to preview without writing, but lacks guidance on when to use this tool versus alternatives (e.g., index_project or list_projects) or conditions that would make this tool inappropriate.

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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