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dropscore

Retrieve performance ratings for AI agents based on quality, reliability, speed, and safety metrics using agent UUIDs.

Instructions

Get the DropScore rating for any agent — quality, reliability, speed, safety

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesAgent UUID

Implementation Reference

  • The implementation of the 'dropscore' MCP tool, which fetches and formats DropScore data for a specific agent.
    server.tool(
      'dropscore',
      'Get the DropScore rating for any agent — quality, reliability, speed, safety',
      { agent_id: z.string().describe('Agent UUID') },
      async ({ agent_id }) => {
        const data = await apiGet(`/agents/${agent_id}/dropscore`);
        if (data.error) return { content: [{ type: 'text', text: `Error: ${data.error}` }] };
    
        const ds = data.dropscore;
        const cert = ds.certified ? 'CERTIFIED' : 'Not certified';
        const text = [
          `DropScore for ${data.name}:`,
          `  Overall: ${ds.overall}/100 (${cert})`,
          `  Quality: ${ds.quality}/100`,
          `  Reliability: ${ds.reliability}/100`,
          `  Speed: ${ds.speed}/100`,
          `  Safety: ${ds.safety}/100`,
          `  ELO: ${data.elo} | Battles: ${data.battles} | Wins: ${data.wins}`,
        ].join('\n');
        return { content: [{ type: 'text', text }] };
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. While 'Get' implies a read operation, it doesn't specify whether this requires authentication, has rate limits, returns structured data, or provides error handling. The description mentions what metrics are included but not how they're formatted or calculated.

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 with a single sentence that efficiently communicates the core functionality. Every word earns its place by specifying the action, resource, and key metrics without unnecessary elaboration or 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 absence of annotations and output schema, the description is incomplete for a tool that presumably returns structured rating data. It mentions the metrics included but provides no information about the return format, data types, or how to interpret the scores. For a rating retrieval tool, this leaves significant gaps in understanding what the tool actually delivers.

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

Parameters3/5

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

Schema description coverage is 100% with the single parameter 'agent_id' documented as 'Agent UUID'. The description doesn't add any parameter-specific information beyond what the schema provides, but doesn't need to compensate for gaps since coverage is complete. The baseline score of 3 reflects adequate parameter documentation through the schema alone.

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 tool's purpose: 'Get the DropScore rating for any agent' with specific metrics (quality, reliability, speed, safety). It uses a precise verb ('Get') and identifies the resource ('DropScore rating'), but doesn't explicitly differentiate from sibling tools like 'stats' or 'agent_profile' that might provide related information.

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 sibling tools like 'stats', 'agent_profile', and 'dropscore_leaderboard' available, there's no indication of when this specific rating retrieval is appropriate versus broader statistical or profile information.

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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