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waldur

Waldur MCP Server

Official
by waldur

list_resources

Retrieve all available resources from Waldur instances to manage services through API access.

Instructions

List all resources

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The handler function for the 'list_resources' tool, decorated with @mcp.tool() for registration. It lists all resources by calling the Waldur API via marketplace_resources_list.
    @mcp.tool()
    async def list_resources() -> list[Resource]:
        """List all resources"""
        return await marketplace_resources_list.asyncio(client=client)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'List all resources' implies a read-only operation, but it doesn't specify whether this is paginated, sorted, filtered, or what format/resources are returned. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

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 at three words, front-loaded with the core action, and has zero wasted text. Every word ('List all resources') directly contributes to understanding the tool's purpose without redundancy.

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 tool's simplicity (0 parameters, no output schema), the description is minimal but inadequate. It doesn't explain what 'resources' are, how they're returned, or how this differs from similar list_* tools. For even a simple tool, more context is needed to be complete.

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 input schema has 0 parameters with 100% coverage, so the schema fully documents the lack of inputs. The description doesn't need to add parameter details, and it correctly implies no filtering or arguments by stating 'all resources'. This aligns well with the schema, earning a baseline 4 for zero-parameter tools.

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

Purpose3/5

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

The description 'List all resources' clearly states the action (list) and target (resources), but it's vague about what 'resources' specifically refers to and doesn't differentiate from sibling tools like list_customers or list_projects. It avoids tautology by not just repeating the tool name, but lacks specificity.

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 like query or other list_* siblings. It doesn't mention any context, prerequisites, or exclusions, leaving the agent with no usage direction beyond the basic purpose.

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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