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christophejlegros-lgtm

ASTRA — Unified Research Lab + MCP Server

tcai_memory_retrieve

Retrieve memories based on blended cosine similarity, PAD congruence, and salience scores. Provide a query embedding or use the current broadcast with optional PAD parameters to filter results.

Instructions

Retrieve memories by blended cosine similarity, PAD congruence and salience

Input Schema

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

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

With no annotations, the description must disclose behavioral traits, but it only mentions the retrieval method. It does not specify side effects (e.g., read-only), performance, or prerequisites for use.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, direct sentence without fluff. However, it could be slightly expanded to improve clarity without losing conciseness.

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?

Given 5 parameters, no output schema, and no annotations, the description is incomplete. It does not explain return values, blending behavior, or how to interpret results, leaving the agent underinformed.

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?

Although schema coverage is 80% (topK missing description), the tool description adds no parameter information. It fails to explain how parameters like 'embedding' or 'arousal' relate to the retrieval method.

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'), the resource ('memories'), and the method ('blended cosine similarity, PAD congruence and salience'), distinguishing it 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 is provided on when to use this tool vs alternatives, such as get_acm_score, or when not to use it. The agent receives no context for decision-making.

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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