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Glama

Complex Portal

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. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already convey read-only, idempotent, non-destructive. Description adds parallelism, fallback between GDELT and GNews, and soft-fail for USPTO. Does not contradict annotations.

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?

Slightly lengthy but highly informative. Front-loaded with query examples, no redundant sentences. Could be tightened slightly but every sentence earns its place.

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, description specifies return structure (changes[] grouped, total_changes count, citation URIs). Covers all complexity: multiple sources, fallback, date formats. Complete for a complex 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 coverage is 100%, but description enriches by explaining since accepts ISO or relative shorthand with examples, and value accepts ticker or CIK. Adds practical usage guidance beyond schema.

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 clearly states the tool provides a change feed for a company across multiple sources (SEC, GDELT, USPTO) in a single call. It uses concrete verbs (fans out, returns) and distinguishes from sibling entity_profile for 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?

Explicitly lists example queries like "What's new with X" and advises when to use entity_profile instead. Provides clear context for when this tool is appropriate.

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

All Complex Portal toolsInspect
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TDQS

A3.8/5.0
Disambiguation2/5

Several tools serve nearly identical purposes: ask_pipeworx and ask_pipeworx_beta are currently functionally identical, and polymarket_edges, polymarket_arbitrage, and bet_research all hunt prediction-market opportunities with overlapping outputs. The verbose descriptions help, but an agent can easily call the wrong one.

Naming Consistency4/5

All 33 names use lowercase snake_case with descriptive, mostly verb-first words (ask_, compare_, discover_, search_), and domain suites are consistently prefixed (polymarket_*, pipeworx_*). Minor deviations like entity_profile or recent_changes (noun/adjective-first) keep it from a perfect 5.

Tool Count2/5

33 tools is well into the 'too many' range, especially for a server nominally about the narrow Complex Portal database. Many tools (memory, feedback, subscriptions, trending) are generic meta-utilities unrelated to the stated purpose.

Completeness2/5

For the stated 'Complex Portal' domain, only search_complexes and get_complex exist, with no organism-scoped search, batch access, or additional lifecycle coverage, making the surface severely incomplete for that name. The actual Pipeworx platform is broadly covered, but the server-name mismatch makes the set feel incomplete for its advertised purpose.

Resources