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ZeroPathAI

ZeroPath MCP Server

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by ZeroPathAI

list_repositories

Lists all repositories in the organization, with optional search filtering to find specific ones.

Instructions

List all repositories in the organization.

Args:
    search_query: Optional search term to filter repositories

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
search_queryNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states it's a list operation but doesn't mention any behavioral traits such as pagination, rate limits, authentication requirements, or what the output format looks like. For a tool with no annotation coverage, this leaves significant gaps in understanding how it behaves.

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 extremely concise and front-loaded, with the core purpose stated in the first sentence and parameter details in a brief, structured format. Every sentence earns its place without any wasted words, making it easy to parse quickly.

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?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., list structure, fields), any limitations (e.g., max results), or error conditions. For a tool with no structured data to rely on, this leaves the agent with insufficient information to use it effectively.

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 description adds meaningful context for the single parameter by explaining that 'search_query' is an 'Optional search term to filter repositories'. Since schema description coverage is 0% and there's only one parameter, this adequately compensates by clarifying the parameter's purpose beyond what the bare schema provides.

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 verb ('List') and resource ('all repositories in the organization'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_sca_repositories' or 'list_scans', which might have overlapping or related functionality.

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?

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'list_sca_repositories' and 'list_scans' present, there's no indication of how this tool differs or when one should be preferred over the others, leaving the agent to guess based on tool names alone.

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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