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list_packages

Discover all Python packages with documentation in the Industrial Ecology MCP server, enabling reliable LCA coding assistance.

Instructions

List all Python packages that this MCP server has documentation for.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states the basic purpose of listing packages, but does not disclose any behavioral traits such as whether the operation is read-only, pagination behavior, rate limits, or authentication requirements.

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

Conciseness5/5

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

The description is a single clear sentence of 13 words with no unnecessary information, perfectly sized for its simple purpose.

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?

For a parameterless list operation with an output schema (not shown), the description is sufficiently complete. It conveys the essential purpose without needing to detail return values. However, it could mention that the list is of packages with documentation, which it does.

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?

The tool has no parameters (input schema is empty), so the description need not add parameter meaning. With 0 parameters, baseline is 4; the description is adequate.

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 verb 'list', the resource 'Python packages', and the scope 'that this MCP server has documentation for'. It is specific and distinguishes from sibling tools like get_package_info which would return details for a single package.

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

Usage Guidelines3/5

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

The description implies the use case of enumerating documented packages, but provides no explicit guidance on when to use this tool versus alternatives like get_package_info or search_docs, nor any conditions when not to use it.

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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