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Glama

Fbi Artcrimes

by io.github.pipeworx-io

Scan Dependency

scan_dependency
Read-onlyIdempotent

Composite "should I add this npm package to my project" check in ONE call — fans out across deps.dev (license + advisories + version history) and bundlephobia (gzipped/minified bundle size, dependency count, ESM/tree-shake support). Use whenever an agent asks "is X safe / popular / small" or "what does adding lodash cost me". Returns a summary block (is_latest, license, published_at, advisory_count, bundle_kb_min, bundle_kb_gz, dependency_count, has_esm, tree_shakeable), per-advisory detail, links, and a list of recent alternative versions. NPM ecosystem only in v1; PyPI / Maven / Cargo / Go fall under deps.dev:version directly. Partial failures degrade gracefully — bundlephobia's first measurement on a new version can take 5-30s; sources_failed will list it if it times out, the rest still returns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packageYesnpm package name. Scoped packages (e.g. "@types/node") are accepted.
versionNoSpecific version to check (e.g., "18.3.1"). Defaults to the latest published version when omitted.

Schema Changelog

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

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare safe read-only behavior. Description adds important details about partial failures, timing (5-30s for bundlephobia first measurement), and sources_failed list.

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?

Single paragraph, front-loaded with purpose. Every sentence adds value, but could be slightly more concise. Still very effective.

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 lists all return fields. Covers inputs, outputs (summary block, advisories, links, alternatives), failure modes, and limitations. Complete for a composite tool.

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?

Schema has 100% coverage, so baseline is 3. Description doesn't add new info beyond what schema says about parameters (e.g., package name, version default). Does not repeat but also doesn't enhance 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 it's a composite check for npm packages using deps.dev and bundlephobia. Distinguishes from siblings by specifying NPM ecosystem and the specific question it answers.

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 tells when to use: for questions about safety, popularity, size of npm packages. Also states NPM-only in v1 and directs other ecosystems to deps.dev:version directly.

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

All Fbi Artcrimes toolsInspect
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TDQS

A3.7/5.0
Disambiguation2/5

ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are near-identical routers (beta is currently exactly the same as stable), and the Polymarket tools (polymarket_edges, polymarket_arbitrage, polymarket_edge_tracker, polymarket_fill_risk, bet_research) all scan or price prediction-market opportunities with fuzzy boundaries. Other clusters like memory and subscriptions are clear, but enough overlap remains that an agent can easily misroute a query.

Naming Consistency3/5

Most names are readable snake_case and many follow a verb_noun shape (list_art_crimes, resolve_entity, validate_claim), but the set also contains noun-phrase names (entity_profile, recent_alerts, pipeworx_feedback, deep_research) and brand-prefixed composites (polymarket_kalshi_spread, ask_pipeworx_beta). This is mixed but still scannable; there is no outright convention chaos.

Tool Count2/5

33 tools exceeds the 25+ threshold and is bloated for a server whose name promises FBI art crimes—only two tools relate to that name. Even treated as a Pipeworx platform, the sprawl makes the tool surface harder to navigate than necessary.

Completeness2/5

For the nominal art-crime domain, only list_art_crimes and get_art_crime exist, with no category search, statistics, or art-crime alerting, so an agent expecting art-crime workflows hits dead ends. The unrelated Pipeworx functionality is broadly covered, but that does not make the set complete for its stated server purpose.

Resources