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dakera_search

Search agent memories by semantic similarity, optionally filtered by tags and memory type (episodic, semantic, procedural, working).

Instructions

Semantic search with optional tag and memory-type pre-filters. Prefer over dakera_recall when results must be constrained by tag or type alongside the semantic match.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoFilter by tags
queryYesSearch query text
top_kNoNumber of results
agent_idYes
memory_typeNoFilter by memory type
Behavior2/5

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

No annotations provided, and the description does not disclose any behavioral traits beyond the basic functionality. Missing details like side effects, authentication needs, or behavior on failure.

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 core purpose, followed by usage guidance. No wasted words; highly efficient.

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?

For a tool with no annotations and no output schema, the description is adequate for selection but lacks details on result format, default top_k behavior, or error handling. Missing information to fully understand tool behavior.

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 high (80%), so baseline is 3. Description adds context by calling tags and memory_type 'optional pre-filters', but does not elaborate on parameters beyond what schema provides. Agent_id is left undocumented.

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 specifies 'semantic search' and contrasts with sibling tool dakera_recall, indicating it is for constrained searches. The verb 'search' and resource 'semantic' with optional filters make purpose distinct.

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

Usage Guidelines5/5

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

Explicitly states 'Prefer over dakera_recall when results must be constrained by tag or type', providing clear when-to-use guidance and a named alternative.

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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