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christophejlegros-lgtm

ASTRA Unified Research Lab MCP Server

tcai_memory_retrieve

Retrieve memories by blending cosine similarity, emotional PAD congruence, and salience to surface the most relevant traces for a query or mood.

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)
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals the matching criteria but omits side effects, defaults, output format, and whether it is a pure read. This is inadequate for a tool with no annotations.

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 sentence that is front-loaded with the verb and resource, and contains no redundant words. It is appropriately concise for a simple retrieval description.

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 no annotations, no output schema, and a fairly complex parameter set, the description is too sparse. It does not explain return values, default embedding behavior, the meaning of salience, or when the tool should be called. The single sentence fails to provide sufficient context for an agent to use it effectively.

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's mention of 'PAD congruence' adds some context tying arousal/valence/dominance to the scoring, but it does not go beyond the existing schema semantics. Meets the baseline for high schema coverage.

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?

Clear verb 'Retrieve' and resource 'memories' with a specific retrieval methodology. This is the only memory retrieval tool among siblings, naturally distinguishing it from 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, no exclusions, and no concrete usage contexts. The description only implies that it is for retrieving memories but does not clarify scenarios or prerequisites.

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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