Skip to main content
Glama

Packaging Check

packaging_check
Read-onlyIdempotent

Validate a zip layout plan for a skill marketplace before packaging. FREE.

Checks SKILL.md placement rules and flags junk files. Typical input {"file_paths": ["my-skill/SKILL.md", "my-skill/examples.md"], "marketplace": "agensi"} returns {"verdict": "pass" | "fail", "issues": ["..."], "skill_files_found": ["my-skill/SKILL.md"]}.

Use on a planned file layout, before zipping. Not for the content of a skill file (lint_skill). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": ""} (for example {"error": "file_paths is empty — list every file that will be inside the zip"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathsYesEvery file path that will be inside the zip, relative to the zip root, e.g. ["my-skill/SKILL.md"]; at least 1 entry.
marketplaceNoRule set to apply: "agensi" (SKILL.md at root or one folder deep) or "generic" (junk-file checks only). Default "agensi".agensi

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already provide readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description reinforces this by stating 'Every call is read-only and idempotent, so after correcting the input it is always safe to retry.' It also explicitly describes error behavior: 'this tool never raises a protocol error — it returns {"error": ...}'. This adds meaningful context beyond the 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?

The description is moderately long but well-structured: it starts with the main purpose, then gives a typical input/output, followed by usage guidance and error behavior. Each sentence adds distinct information. While not extremely concise, it is efficient given the complexity of the tool.

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

Completeness4/5

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

The description covers the main use case, error behavior, and return format (verdict, issues, skill_files_found). Given that an output schema exists, the description does not need to duplicate that. It also explains the two marketplace rule sets. Minor gaps (e.g., exact definition of junk files) exist but do not significantly impair completeness.

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%, so parameters are well-documented already. The description adds value by providing a concrete example ('Typical input {"file_paths": ["my-skill/SKILL.md"], "marketplace": "agensi"}') and clarifying the rules for marketplace values and error handling. This enhances understanding beyond the schema alone.

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 starts with a specific verb and resource: 'Validate a zip layout plan for a skill marketplace before packaging.' It also explicitly distinguishes itself from the sibling 'lint_skill' tool by stating 'Not for the content of a skill file (lint_skill).' This makes the purpose clear and distinct.

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?

The description says 'Use on a planned file layout, before zipping.' It also explicitly states what not to use it for: 'Not for the content of a skill file (lint_skill).' Additionally, it mentions that errors return a helpful message and that the tool is safe to retry, guiding the agent on correct invocation.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.7/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: cron explanation, text diffing, JSON validation, skill linting, packaging layout validation, and regex testing. There is no functional overlap, so an agent can easily select the correct tool.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., cron_explain, diff_texts, lint_skill). The naming convention is uniform and predictable across the entire set.

Tool Count5/5

With only 6 tools, the server is well-scoped for its linting and validation purpose. Each tool is justified and contributes to the overall functionality without redundancy or excessive bloat.

Completeness4/5

The tool set covers the primary validation needs for skills (linting, packaging, and auxiliary utilities like cron, diff, JSON, regex). Minor gaps could include a tool for validating skill dependencies or conformance to a specific schema, but the core workflows are well-supported.

Resources