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christophejlegros-lgtm

ASTRA — Unified Research Lab + MCP Server

tcai_memory_retrieve

Retrieve memories that match a query vector and emotional state (valence, arousal, dominance) using blended cosine similarity, PAD congruence, and salience.

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]
Behavior3/5

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

No annotations are provided, so the description carries full burden. It mentions the retrieval mechanism (cosine similarity, PAD congruence, salience) but does not disclose side effects, authorization requirements, or performance implications.

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?

A single, concise sentence that efficiently communicates the tool's purpose without any fluff.

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?

With 5 optional parameters, no output schema, and no annotations, the description is insufficiently complete. It does not explain return format, default behavior when embedding is omitted, or how PAD congruence is computed.

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 80% (4 of 5 parameters have descriptions). The description adds no additional parameter information beyond what the schema already provides. topK lacks a description in both schema and description, but overall, minimal value added.

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's function: 'Retrieve memories' and specifies the retrieval method (blended cosine similarity, PAD congruence, salience). It effectively distinguishes 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 Guidelines3/5

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

The description implies usage for memory retrieval but lacks explicit guidance on when to use this tool versus alternatives, nor does it provide when-not-to-use conditions.

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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