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chiark-mcp

chiark-mcp

by chiark-ai-dev
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

get_ecosystem_stats

Retrieve ecosystem statistics including total agents, online count, average scores, top categories, and latency metrics for AI agent evaluation.

Instructions

Ecosystem overview: total agents, online count, average scores, top categories, average latency.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_ecosystem_stats"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
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. It mentions metrics but doesn't disclose behavioral traits like whether this is a read-only operation, if it requires authentication, rate limits, data freshness, or how the metrics are calculated (e.g., time window for averages). This leaves significant gaps for a tool that likely aggregates data.

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, efficient sentence that lists all key metrics without unnecessary words. It's front-loaded with the purpose ('Ecosystem overview') followed by specific data points, making it easy to scan and understand quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (aggregating multiple metrics) and lack of annotations or output schema, the description is minimally adequate. It specifies what metrics are returned but doesn't explain their format, units, or interpretation, leaving the agent to infer details. This is a baseline level of completeness for a no-parameter tool.

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 0 parameters, and schema description coverage is 100%, so there's no need for parameter details in the description. The baseline for 0 parameters is 4, as the description appropriately focuses on output semantics without redundant parameter explanations.

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 what the tool does: provide an ecosystem overview with specific metrics (total agents, online count, average scores, top categories, average latency). It uses a specific verb ('overview') and resource ('ecosystem'), though it doesn't explicitly distinguish from sibling tools like 'check_agent_status' or 'get_agent_score'.

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?

No guidance is provided on when to use this tool versus alternatives. The description lists metrics but doesn't indicate whether this is for monitoring dashboards, health checks, or comparison with individual agent tools like 'get_agent_score'. There's no mention of prerequisites, frequency, or context for usage.

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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