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Glama

npmSearch

Search NPM packages

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results
queryYesSearch query
ignoreCacheNoBypass cache

Schema Changelog

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

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden of disclosing behavior. It only says 'Search NPM packages', which adds no behavioral detail beyond the tool name. It does not explain whether results include version metadata, whether it hits the live registry, how pagination or caching works (though the ignoreCache parameter hints at caching), or any rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence with no fluff. However, it is under-specified—it essentially restates the tool name with a verb. While concise, it sacrifices usefulness for brevity, providing minimal information about the tool's behavior or context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description needs to set expectations for what the tool returns, but it does not. It is unclear what fields are returned (does it return the package name, description, version, maintainers?). The description also fails to mention how it handles caching or what the 'limit' parameter truly impacts beyond 'Max results'. The tool is simple, but the description is incomplete for an agent trying to invoke it correctly.

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?

The input schema has 100% parameter coverage with descriptions for query, limit, and ignoreCache. The description adds no extra semantic value, but the baseline of 3 applies because the schema does the heavy lifting. Parameters are reasonably self-explanatory.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (search) and resource (NPM packages), fulfilling the basic requirement. However, it does not differentiate itself from sibling tools like npmLatest or npmVersions, which also relate to NPM package data. It is clear but lacks specificity about what kind of search (by name, metadata, etc.) or result scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. With many sibling npm tools available (npmQuality, npmScore, npmTrends, etc.), the description gives no hint about what unique purpose npmSearch serves or when a user should prefer it. This is a clear gap.

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

C2.4/5.0
Disambiguation2/5

Several tools have overlapping or ambiguous purposes that could confuse an agent. For example, analyze_code, analyze_patterns, and analyze_design_patterns all involve code analysis with unclear boundaries, while check_deceptive_patterns and check_placeholders seem like subsets of analyze_code. The NPM tools form a coherent group but are distinct from the rest, creating a fragmented toolset.

Naming Consistency2/5

Naming conventions are highly inconsistent across the toolset. Some tools use snake_case (e.g., analyze_code, execute_code), others use camelCase (e.g., npmAlternatives, npmChangelogAnalysis), and there are mixed styles like query-docs with hyphens. The NPM tools follow a consistent npmPrefix pattern internally, but this is not applied to other tools, leading to overall chaos.

Tool Count2/5

With 39 tools, this server is overloaded for a 'DevTools Collection' scope. The count feels excessive, as many tools could be consolidated (e.g., multiple analysis tools) or logically grouped. While the NPM tools are numerous but focused, the overall set lacks cohesion, making it cumbersome for an agent to navigate and select appropriate tools efficiently.

Completeness3/5

The toolset covers a broad range of development tasks, including code analysis, execution, documentation, and package management, but there are notable gaps. For example, there is no tool for code generation or refactoring, and the Microsoft and NPM tools are well-covered but isolated from other functionalities. The surface is extensive but not fully integrated, with some dead ends in workflow transitions.

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