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Re-embed Entities

graph_reembed
Idempotent

Regenerate semantic-search embeddings for entities. Default fills missing embeddings; use force to re-embed all after updating embed-text recipe.

Instructions

Regenerate semantic-search embeddings for entities. By default only fills missing embeddings (idempotent, fast). With force=true, re-embeds every entity — use after changing the embed-text recipe (e.g. when richer fields are added). At ~10ms per entity, full re-embed of a few hundred nodes finishes in seconds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
forceNoRe-embed every entity, even ones that already have an embedding. Default false.
Behavior5/5

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

The description adds behavioral context beyond the idempotentHint annotation, including performance estimates and the specific scenario for force=true. There is no contradiction with annotations.

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 very concise with two sentences plus a performance note. Everything is front-loaded and relevant.

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 the simplicity of the tool (one boolean parameter, no output schema), the description provides sufficient context including performance and idempotency.

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?

Schema coverage is 100%, so baseline is 3. The description adds meaning by explaining the use case for force=true, which goes beyond the schema description.

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 regenerates semantic-search embeddings for entities, using specific verbs and resources. It distinguishes itself from sibling tools like graph_ingest or graph_merge, which handle broader operations.

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 explains when to use the default (idempotent, fast) and when to use force=true (after changing the embed-text recipe). It does not explicitly mention when not to use or compare to alternatives, but the context is clear enough.

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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