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plur_recall_hybrid

Read-onlyIdempotent

Retrieve relevant engrams using hybrid search that merges BM25 and local embeddings with Reciprocal Rank Fusion, all processed locally without API calls.

Instructions

Hybrid search — BM25 + local embeddings merged via Reciprocal Rank Fusion. No API calls, fully local. Best default for most use cases.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return (default 20)
queryYesSearch query to find relevant engrams
scopeNoFilter by scope (also includes global)
budgetNoBudget constraints for sub-agents
domainNoFilter by domain prefix
include_episodesNoIf true, include linked episode summaries for each engram (SP2 episodic anchoring)
caller_session_idNoSession ID of calling agent for budget enforcement
Behavior4/5

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

Annotations already declare readOnly and idempotent. Description adds that it's fully local and uses specific algorithms, adding behavioral context beyond 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?

Single sentence with no filler. Front-loaded with key purpose. Every part is meaningful.

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?

With no output schema, the description does not explain return values. Schema covers parameters. Lacks details on what the result structure looks like, but annotations reduce that burden. Adequate for a simple search 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 100%, so parameters are documented. Description does not add extra meaning for parameters, but the algorithmic context helps understand the query parameter. 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 hybrid search using BM25 and local embeddings with RRF, distinguishing it from plausible siblings like plur_recall or plur_similarity_search.

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?

Explicitly calls it 'Best default for most use cases,' guiding the agent to prefer this tool initially. Lacks explicit when-not-to-use but provides positive 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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