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dakera_recall

Retrieve top-k memories semantically closest to a query. Set include_associated to expand results via knowledge graph edges.

Instructions

Retrieve top-k memories semantically closest to a query. Prefer over dakera_batch_recall for query-based retrieval. Set include_associated=true to expand results via KG edges (1-3 hops).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSemantic query text
sinceNoOnly memories created at or after this ISO-8601 timestamp
top_kNoMax results to return
untilNoOnly memories created at or before this ISO-8601 timestamp
agent_idYes
min_importanceNoMin importance threshold
include_associatedNoInclude KG-linked memories in results
Behavior3/5

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

No annotations provided, so description carries the burden. Discloses semantic retrieval and KG edge expansion, but does not explicitly state whether the tool is read-only or modifies state.

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 with no waste: first states action, second provides usage guidance and key parameter hint.

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 purpose, usage, and one key parameter. Lacks explanation of return format but acceptable for a retrieval tool with well-named parameters.

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 (86%). Description adds nuance for include_associated (1-3 hops), but agent_id lacks description in 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 tool retrieves top-k memories semantically closest to a query, distinguishing it from dakera_batch_recall for query-based retrieval.

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 using this tool over dakera_batch_recall for query-based retrieval, but could provide more guidance on when to use alternatives like dakera_fulltext_search or dakera_hybrid_search.

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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