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tcai_memory_retrieve

Retrieve memories matching query embedding and PAD emotional dimensions, using blended cosine similarity and salience ranking to return the top congruent memories.

Instructions

Retrieve memories by blended cosine similarity, PAD congruence and salience

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topKNo
embeddingNoQuery vector (defaults to current broadcast)
valenceNoPleasure ∈ [−1,1]
arousalNoArousal ∈ [0,1]
dominanceNoDominance ∈ [0,1]
Behavior2/5

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

With no annotations, the description bears full behavioral disclosure burden. It only mentions the retrieval algorithm but does not disclose side effects, read-only nature, or prerequisites like embedding availability.

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 a single concise sentence that efficiently communicates the tool's purpose and method.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite 5 parameters and no output schema, the description omits details about return values, result format, and interpretation of salience. More context is needed for effective use.

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 description coverage is 80% (4 of 5 parameters have descriptions). The description adds context about the retrieval method but doesn't elaborate on parameter roles beyond the schema. The embedding parameter's default is noted.

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 action (retrieve memories) and the method (blended cosine similarity, PAD congruence, salience). It distinguishes itself from sibling tools like tcai_memory_store.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. The description lacks context about when retrieval is appropriate or when to use other memory-related tools.

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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