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meta-embeddings_backfill_all

meta-embeddings_backfill_all

Backfill semantic search embeddings for all users with cases. Returns per-user counts and total items queued.

Instructions

Backfills semantic search embeddings for ALL users that have cases. Returns per-user counts and total items queued.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so the description must carry the burden. It mentions returning per-user counts and total items queued, but omits critical behavioral details such as whether the operation is destructive, idempotent, or requires permissions. Agents lack safety information.

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?

Single sentence, very concise, front-loads the action. Every word is necessary and informative.

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

Completeness3/5

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

Describes return values (counts and total queued) which is good given no output schema. However, lacks context on operation behavior (synchronicity, side effects, performance impact). Not fully complete for a batch operation.

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?

No parameters in schema (coverage 100%), so the description adds nothing beyond the schema. 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?

Clearly states the verb 'backfills' and the resource 'semantic search embeddings for ALL users'. Differentiates from sibling 'meta-embeddings_backfill' by explicitly specifying 'ALL'.

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

Usage Guidelines3/5

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

Implied usage: use when you want to backfill embeddings for all users. No explicit when-to-use or when-not-to-use, and no alternatives listed. The name and description provide limited guidance.

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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