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Glama

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. Added

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds valuable context: partial failures degrade gracefully, bundlephobia's first measurement can take 5-30s, and sources_failed field lists any timeout. No contradictions.

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?

The description is dense but well-structured, starting with the composite nature, then usage, then return structure, and finally caveats. It could be slightly more concise, but every sentence adds value.

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?

Given no output schema, the description fully details what the tool returns (summary block, per-advisory detail, links, alternative versions). It also covers critical context: NPM-only scope, partial failure behavior, timing, and field listing. Complete for a tool with two simple parameters.

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 has 100% description coverage for both parameters. The description adds that scoped packages (e.g., '@types/node') are accepted and that version defaults to latest. This extra information enhances understanding beyond the 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?

The description clearly defines the tool as a composite check for npm packages, covering license, advisories, version history, and bundle size. It specifies the exact resource (npm package) and actions, and distinguishes from sibling tools by limiting to NPM ecosystem and mentioning fallback for other ecosystems.

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: when an agent asks about safety, popularity, or size of an npm package. Also clarifies that it's NPM-only and provides alternatives for other ecosystems (PyPI, Maven, etc. under deps.dev:version).

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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Glama MCP Gateway

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TDQS

B3.1/5.0
Disambiguation4/5

Most tools have distinct purposes, especially within the Roblox and Pipeworx domains. However, the three variants of ask_pipeworx (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded) are very similar and could cause confusion, as could deep_research vs ask_pipeworx.

Naming Consistency3/5

Naming conventions are mixed: snake_case (user_followers_count), verb_noun with underscores (ask_pipeworx), and camelCase (recall, forget). Roblox tools follow a consistent 'user_' prefix, but Pipeworx tools lack a uniform pattern.

Tool Count2/5

41 tools is excessive for a server named 'Roblox'. The majority of tools are Pipeworx data utilities, which are unrelated to the server's apparent focus. This overloading undermines coherence.

Completeness3/5

Coverage within the Roblox domain is basic (user profiles, friends, games) but misses common features like asset details or group management. Pipeworx appears comprehensive for data lookups, but the overall set lacks unified domain completeness.