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memory_search

Find memory index entries by matching substrings in names, titles, or hooks. Uses case-insensitive filtering without embeddings to quickly recall relevant memories.

Instructions

Filter the memory index by a substring (case-insensitive) over name/title/hook. A cheap relevance filter — no embeddings. Returns matching index entries; recall the ones you want.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYessubstring to match in name/title/hook
Behavior4/5

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

With no annotations, the description carries full burden. It discloses case-insensitive substring matching, cheap operation, and that output requires separate recall. Does not mention side effects, but operation is read-only.

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 sentences, front-loaded with purpose, no wasted 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?

For a simple filter tool with one parameter and no output schema, the description explains input, behavior, and output usage sufficiently. Could clarify output format, but adequate.

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 covers query parameter with description, but description adds 'case-insensitive' and explicitly lists fields searched, enhancing the schema's meaning.

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 filters memory index by substring, specifies fields searched (name/title/hook), and distinguishes from sibling tools by noting it's a 'cheap relevance filter — no embeddings'.

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 implies when to use (cheap substring filtering) and hints at when not (no embeddings), but lacks explicit exclusions or alternative tool names.

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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