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find_similar

Find memories semantically similar to a given reference or text. Use to identify overlapping content and candidate duplicates during consolidation workflows.

Instructions

Surface memories semantically near an existing ref or free-form text. Use during consolidation/dream workflows to find overlap and dedupe candidates. Anchor with ref (an existing memory) or text (a fresh query). Self is always excluded when ref is given.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoAnchor on an existing memory ref (excludes self from results)
textNoOr anchor on fresh text — embedded on the fly
limitNoMax neighbours to return (default 10)
projectNoRestrict candidates to a project
categoryNoRestrict candidates to a category
min_relevanceNoDrop matches below this cosine similarity (0..1)
Behavior3/5

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

No annotations provided; description adds behavioral context like 'Self is always excluded when ref is given', but does not specify if the operation is read-only or has side effects. Acceptable but could be more thorough.

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?

Three concise sentences, each adding value: purpose, usage context, and parameter distinction. No redundant or irrelevant content.

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?

Covers main behavior and parameter usage well. No output schema, so return format is not described, but the complexity is moderate and the description is sufficient for an agent to use the tool correctly.

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% with descriptions; description adds context that ref and text are alternative anchors and that self is excluded for ref, going beyond the schema's basic descriptions.

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?

Description clearly states verb 'surface' and resource 'memories semantically near an existing ref or free-form text', distinguishing it from sibling tools like recall or memory_list.

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 recommends use 'during consolidation/dream workflows to find overlap and dedupe candidates', and distinguishes between ref and text anchors. Lacks explicit when-not usage compared to alternatives.

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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