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Glama

tarot

by io.github.pipeworx-io

Recent Changes

recent_changes
Read-onlyIdempotent

"What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings since since), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). since accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesEntity type. Only "company" supported today.
sinceYesWindow start — ISO date ("2026-04-01") or relative ("7d", "30d", "3m", "1y"). Use "30d" or "1m" for typical monitoring.
valueYesTicker (e.g., "AAPL") or zero-padded CIK (e.g., "0000320193").

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?

Annotations already declare readOnlyHint and idempotentHint, but the description adds substantial behavioral context: which upstream sources are queried, the GDELT→GNews fallback on rate-limit/5xx, and the PatentsView sunset soft-fail. No contradiction with annotations; the description enriches the safety profile without redundantly repeating it.

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 dense but every sentence earns its place: examples, source list, fallback behavior, parameter format, return shape, and explicit alternative. It is front-loaded with user intents and flows logically. No filler.

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?

Despite no output schema, the description fully explains the return format (changes[] grouped by source, total_changes, pipeworx:// URIs). It also accounts for external API dependencies and failure modes, making it complete for a complex multi-source tool.

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 already covers all three parameter meanings (type, value, since) with 100% coverage. The description adds extra value by showing accepted shorthand formats for 'since' ('7d', '30d', '3m', '1y') and recommending '30d' or '1m' for typical monitoring, which helps the agent construct effective calls.

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 concrete natural-language intents and then states the exact function: a change feed for a company over a trailing window, fanning out to SEC, news, and patents. It clearly differentiates from the sibling entity_profile tool by contrasting dynamic changelog vs. static profile.

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?

Provides explicit when-to-use guidance with example queries, and explicitly points to entity_profile as the alternative when a static profile is wanted regardless of window. Also sets expectations for soft failures and fallback behavior, helping the agent pick the right tool.

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