Skip to main content
Glama

Comicvine

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").

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already indicate read-only, open-world, idempotent, non-destructive. Description adds details: fans out to multiple sources (SEC EDGAR, GDELT→GNews fallback, USPTO), parallel call, soft-fail for USPTO, and return structure (changes[] grouped by source, total_changes, citation URIs). No contradiction.

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?

Description is comprehensive but slightly dense. Front-loaded with query examples, then systematically explains sources, parameters, and returns. No unnecessary repetition, but could be slightly more concise.

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 explains the return structure (changes[] grouped by source, total_changes, citation URIs). Covers all three parameters with usage details, fallback logic, and source behavior. Sufficient for an agent to invoke correctly.

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% (all params described). Description adds value: explains 'since' accepts ISO or relative shorthands with examples and typical usage, and clarifies 'value' accepts ticker or zero-padded CIK.

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 clearly states the tool's function as a 'change feed for a company in the last N days/weeks/months in ONE parallel call' and distinguishes it from sibling entity_profile by specifying when to use that instead.

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 example queries and explicit guidance: 'Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.' Also explains fallback behavior and parameter usage.

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

All Comicvine toolsInspect
Try in Browser
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.3/5.0
Disambiguation2/5

Many tools have overlapping purposes, especially the Pipeworx utilities (ask_pipeworx, ask_pipeworx_grounded, deep_research, etc.). The comic tools are distinct but the large number of similar generally-purpose tools creates confusion across the set.

Naming Consistency3/5

Comic tools follow a consistent noun pattern (character, characters, issue, issues) but Pipeworx tools mix verb_phrase (ask_pipeworx), noun_phrase (entity_profile), and composite names (scan_competitor_ai_presence). No single convention dominates.

Tool Count1/5

The server name 'Comicvine' suggests a focused comic book reference, yet 30 of 40 tools are unrelated Pipeworx services (company financials, prediction markets, subscriptions, etc.). This is a severe scope mismatch.

Completeness2/5

The comic-related tools cover characters, issues, volumes, publishers, and creators reasonably well, but the server's overall purpose is diluted by including many non-comic tools that don't form a coherent surface. The comic subset is complete, but the full set is not.

Resources