Skip to main content
Glama
christophejlegros-lgtm

ASTRA — Unified Research Lab + MCP Server

tcai_memory_store

Store an experience in emotional memory with attention-gated, salience-indexed parameters.

Instructions

Store an experience in emotional memory (attention-gated, salience-indexed)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
arousalNoArousal ∈ [0,1]
valenceNoPleasure ∈ [−1,1]
dominanceNoDominance ∈ [0,1]
embeddingNoFeature vector (defaults to current broadcast)
narrativeYesDescription of the experience
attentionLevelNo
Behavior2/5

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

No annotations exist, so the description carries full burden. It mentions "attention-gated, salience-indexed" but does not explain what these mean for behavior, side effects, duplicates, or return values.

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?

Single sentence with no fluff. While short, it is efficiently structured. Could benefit from a bit more context without becoming verbose.

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?

The description omits critical contextual details: what happens after storage, prerequisites, how attention/salience affect storage, and any side effects. For a storage tool with 6 parameters and no output schema, this is insufficient.

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 83%, so the schema already documents parameters. The description adds no extra parameter context beyond what the schema provides, so baseline 3 is appropriate.

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?

Description uses a specific verb-resource pair ("Store an experience in emotional memory") and adds distinguishing qualifiers ("attention-gated, salience-indexed") that differentiate it from siblings like tcai_memory_retrieve.

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?

The description implies storing experiences but gives no explicit guidance on when to use, when not, or alternatives. Sibling tools include other memory and cognitive tools, but no usage context is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/christophejlegros-lgtm/ASTRA-Unified-ResearchLab-MCP-v2.8'

If you have feedback or need assistance with the MCP directory API, please join our Discord server