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argue_claim

Analyze any claim to generate balanced arguments both supporting and opposing it, helping users evaluate different perspectives on a topic.

Instructions

Get the strongest arguments both for and against any claim. Cost: $0.005 USDC. Service: debateclub.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
claimYes
contextNo
domainNo

Implementation Reference

  • The server handles tool calls dynamically by looking up the tool name in a fetched registry and then using `callTool` to execute it. The specific tool "argue_claim" would be executed by this general handler if it exists in the registry.
    server.setRequestHandler(CallToolRequestSchema, async (request) => {
      const { name, arguments: args } = request.params;
    
      let registry: Registry;
      try {
        registry = await fetchRegistry();
      } catch (error) {
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify({ error: "Failed to fetch tool registry", detail: String(error) }),
            },
          ],
        };
      }
    
      const tool = registry.tools.find((t) => t.name === name);
      if (!tool) {
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify({
                error: `Tool '${name}' not found`,
                available_tools: registry.tools.map((t) => t.name),
              }),
            },
          ],
        };
      }
    
      try {
        const result = await callTool(tool, args as Record<string, unknown>);
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify(result, null, 2),
            },
          ],
        };
      } catch (error) {
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify({
                error: "Tool call failed",
                tool: name,
                service: tool.service,
                detail: String(error),
              }),
            },
          ],
        };
      }
    });
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses cost ('Cost: $0.005 USDC') and service provider ('Service: debateclub'), which are useful behavioral traits. However, it lacks details on rate limits, authentication needs, response format, or potential side effects, leaving gaps for a tool with no annotation coverage.

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 highly concise and front-loaded: the first sentence states the core purpose, and the second adds essential behavioral details (cost and service). There is no wasted text, and every sentence earns its place by providing critical information.

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 complexity (3 parameters, no annotations, no output schema), the description is incomplete. It covers the tool's purpose and some behavioral aspects but fails to explain parameters, return values, or operational constraints. For a tool with no structured data support, this leaves significant gaps for an AI agent to use it effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does not mention any parameters or their semantics. The three parameters (claim, context, domain) are undocumented in both the schema and description, leaving their purpose and usage unclear. The description fails to add meaning beyond the bare schema.

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 tool's purpose: 'Get the strongest arguments both for and against any claim.' It specifies the action (get), the resource (arguments), and the scope (for and against any claim). It also distinguishes itself from siblings like 'verify_claim' or 'deep_verify_claim' by focusing on argument generation rather than verification.

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

Usage Guidelines4/5

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

The description provides clear context for usage: 'Get the strongest arguments both for and against any claim.' It implies this tool is for debate or analysis purposes. However, it does not explicitly state when to use this tool versus alternatives like 'verify_claim' or 'deep_verify_claim', nor does it mention any exclusions or prerequisites.

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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