Skip to main content
Glama

get_metadata

Retrieve the database schema to discover tables, columns, and data types from Evidence's DuckDB connection for informed query building.

Instructions

Returns database schema from Evidence's DuckDB connection.

Returns a JSON object with tables and their columns, including data types. Use this to understand what data is available for queries.

Returns: Dictionary with 'tables' array, each containing 'name' and 'columns'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries full burden. Clearly describes return format (JSON with tables and columns). Does not explicitly state non-destructive nature, but read-only schema retrieval is implied. Lacks mention of side effects, but they are unlikely.

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?

Three sentences, each purposeful. Front-loaded with main purpose, then return format, then usage guidance. No fluff.

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 tool with no parameters, no output schema, no annotations, description fully explains what the tool does and returns, with usage context. Complete for its complexity.

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?

Zero parameters, so baseline is 4. Description adds meaning beyond empty schema by explaining output structure and use case.

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?

Description clearly states it returns database schema from Evidence's DuckDB connection, listing tables and columns. Verb 'returns' with specific resource 'database schema', distinct from sibling tools like debug_code or read_docs.

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?

Explicitly says 'Use this to understand what data is available for queries.' Provides a clear use case but no when-not or alternatives, though context with siblings makes it clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jaho5/evidence-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server