Trustbase Lab · rCB & Chemical Recycling Data

Database Overview

get_database_overview

Read-onlyIdempotent

Purpose: dataset overview - version, record counts per table, entity-ID rules (stable IDs like rcb-cn-001, append-only), confidence grading (A/B/C), verified-supplier counts, the full tool index and site module map. Guidelines: call this FIRST when discovering the server, then route to specific query_* tools; pass language='en' for English output, response_format='json' for Agent processing. Limits: metadata only - no record content; counts refresh with each data release (schema 1.8). Ex: 'what data does this server have', 'list available tools'.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`language`	No	输出语言 / output language	zh
`response_format`	No	输出格式：markdown=人类阅读, json=Agent 处理友好	markdown

Output Schema

TableJSON Schema

Name	Required	Description	Default
`text`	Yes	Human-readable result (markdown, or a JSON string when response_format=json).

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 20, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "properties": {
+    "text": {
+      "description": "Human-readable result (markdown, or a JSON string when response_format=json).",
+      "type": "string"
+    }
+  },
+  "required": [
+    "text"
+  ],
+  "type": "object"
+}

First observedSep 15, 2026

TDQS

A4.5/5.0

Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds valuable behavioral context beyond annotations: metadata-only access (no record content) and counts refreshing per data release (schema 1.8), which helps the agent set expectations correctly.

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 compact yet information-dense, with clear labels (Purpose, Guidelines, Limits, Ex) and no filler. Every sentence contributes actionable information, and the key guidance is front-loaded.

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

Completeness5/5

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

For a metadata-overview tool with an output schema and strong annotations, the description covers everything an agent needs: what the tool returns, when to call it, how to configure parameters, what it excludes, and example use cases. Nothing essential is missing.

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%, so the baseline of 3 applies. The description repeats and reinforces the parameter guidance (language='en', response_format='json') but does not add meaning beyond what the schema already documents.

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?

States a specific purpose: dataset overview with version, record counts, entity-ID rules, confidence grading, verified-supplier counts, tool index, and module map. It clearly differentiates itself from the many query_* and get_* siblings by being the server-level discovery tool to call first.

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

Usage Guidelines5/5

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

Explicitly instructs the agent to call this tool FIRST when discovering the server and then route to specific query_* tools. It also gives concrete setting guidance (language='en', response_format='json') and example queries, leaving no ambiguity about when and how to use it.

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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