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Remember

remember
Idempotent

Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesMemory key (e.g., "subject_property", "target_ticker", "user_preference")
valueYesValue to store (any text — findings, addresses, preferences, notes)

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already provide idempotent and destructive hints, and the description adds behavioral context beyond them: memory scoped by identifier, and persistence duration differences for authenticated vs anonymous sessions. This enriches the agent's understanding without contradicting structured metadata.

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 three sentences with a clear front-loaded purpose, followed by usage guidance and memory mechanics. Every sentence earns its place with no filler or repetition.

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

Completeness5/5

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

For a simple 2-parameter write tool with thorough annotations and full schema coverage, the description covers purpose, usage, persistence behavior, and sibling relationships. No critical context is missing, making it complete for agent invocation.

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?

The input schema covers 100% of parameters with clear descriptions and examples for both key and value. The description does not add significant parameter-level meaning beyond what the schema provides, so the baseline score of 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?

The description uses a specific verb 'Save' with a clear resource ('data the agent will need to reuse later') and explicitly distinguishes from sibling tools by naming recall and forget as companions. This makes the tool's purpose unambiguous and well-differentiated.

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

Usage Guidelines5/5

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

The description gives explicit when-to-use guidance: 'Use when you discover something worth carrying forward' with concrete examples (resolved ticker, target address, user preference). It also directs pairing with recall and forget, clearly implying alternatives for retrieval and deletion.

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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Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.6/5.0
Disambiguation2/5

The server is named 'spacex' but contains a vast number of tools unrelated to SpaceX, such as polymarket arbitrage, npm package scanning, and claim validation. Users and agents would struggle to determine whether this server is for SpaceX data or general-purpose queries.

Naming Consistency2/5

The SpaceX-specific tools follow a consistent 'get_' pattern, but the majority of tools use varied naming conventions (e.g., 'ask_pipeworx', 'bet_research', 'remember', 'subscribe'). No unifying pattern across the set.

Tool Count3/5

36 tools is a moderately large count, not extreme. However, many tools are unrelated to the server's namesake, making the set feel bloated and unfocused. The count could be trimmed to improve coherence.

Completeness2/5

For the SpaceX domain, the coverage is decent (launches, rockets, crew, Starlink). But the server's purpose is unclear—there are glaring gaps in a unified vision, as the Pipeworx tools are not integrated into a coherent SpaceX theme.