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recall

Retrieve top-k memories by relevance and accrued value to load relevant prior knowledge before reasoning.

Instructions

Retrieve the top-k memories by RELEVANCE × accrued VALUE (not recency). Use this to load relevant prior knowledge before reasoning. Returns text, tags, value, and a relevance score.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kNo
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries full burden. It discloses the ranking formula (relevance × value) and return fields, but does not explicitly state read-only nature, side effects, or permissions. Adequate but could be more explicit about safety.

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?

The description is three concise sentences, front-loaded with the core function, followed by usage advice and return fields. No redundant information.

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 retrieval tool with 2 parameters and no schema descriptions, the description covers purpose and usage but omits parameter details (e.g., query is required, k defaults to 6) and does not address edge cases like empty results. Output schema existence partially mitigates return value gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the parameters 'query' or 'k' individually. It mentions 'top-k' but adds no semantic detail beyond property names. The description fails to compensate for missing schema 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?

The description clearly states 'Retrieve the top-k memories by RELEVANCE × accrued VALUE (not recency)', which is a specific verb-resource pair. It distinguishes from recency-based retrieval and sibling tools like 'remember' or 'forget'.

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 explicitly advises 'Use this to load relevant prior knowledge before reasoning', providing clear when-to-use context. However, it does not mention when not to use or suggest alternatives among siblings.

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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