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Glama

tarot

by io.github.pipeworx-io

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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)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.9/5.0
Behavior5/5

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

Discloses key behavioral traits beyond annotations: key-value storage scoped by identifier, persistence differences for authenticated vs anonymous sessions (24-hour TTL for anonymous). These details are not available in annotations and are highly relevant for the agent's expectations. No contradiction with 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?

Three sentences, each earning its place: purpose+usage, storage mechanics+persistence, and sibling relationship. Front-loaded with the most important information and compact without being terse.

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 write tool with two parameters and no output schema, the description is complete. It explains what, when, why, how long data persists, and how it connects to related tools. No critical information is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers both parameters with clear descriptions (100% coverage), so baseline is 3. The description adds semantic guidance by giving examples of appropriate key/value content (e.g., 'subject_property', 'user_preference') and emphasizing that value can be 'any text', which is more illustrative than the schema's generic wording. This extra layer justifies a 4.

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 opens with a specific verb ('Save') and resource ('data the agent will need to reuse later'), and immediately distinguishes the tool from its siblings ('recall', 'forget') by explaining the full lifecycle. This makes the tool's purpose unmistakable even among many sibling tools.

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?

Explicitly states when to use ('Use when you discover something worth carrying forward') and provides concrete examples (resolved ticker, target address, user preference, research subject). It also names the companion tools ('recall' to retrieve, 'forget' to delete), giving clear context for choosing this tool over alternatives.

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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TDQS

A3.8/5.0
Disambiguation2/5

Several tools overlap in purpose, notably the ask_pipeworx family (stable, beta, grounded all route identically) and random_card vs draw_cards for straightforward draws. The polymarket and research tools also share fuzzy boundaries that an agent could easily misroute.

Naming Consistency3/5

All names use snake_case and readable English, but the set mixes verb-led (ask_pipeworx, recall), noun-led (random_card, recent_alerts), and prefix-family names (polymarket_*, entity_*) with no single structural pattern. Readable but not cohesive.

Tool Count2/5

35 tools is well above the typical well-scoped range and far more than a tarot-focused server would justify. The excess is externally provided Pipeworx functionality that dominates the tarot tools it sits over.

Completeness4/5

For the tarot domain, the set covers the full usage loop: getting, drawing, and searching cards are all present. The surrounding data/research/memory tools also cover their own domains exhaustively, with no obvious dead ends.

Resources