Skip to main content
Glama

list_databases

Enumerate all available RDF databases with their titles and descriptions. Use this to discover the full catalog without filtering.

Instructions

Supplementary: full catalog dump (browse only, no filtering).

Returns every available RDF database with {database, title, description}. Use this only when you need the entire catalog with no filter — for example, to enumerate all databases or to discover what kinds of data exist before you have specific search terms.

For every normal workflow, call find_databases(keywords=[...]) first — that is the canonical entry point. This tool is a supplementary fallback.

Returns: A list of dicts with keys database, title, description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations exist, so the description carries full burden. It states 'browse only, no filtering' implying read-only access, and describes return format. However, it doesn't explicitly mention that it's non-destructive or any authentication needs, though for a simple list operation this is sufficient.

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 concise: two short paragraphs with the purpose front-loaded. Every sentence adds value, and there is no unnecessary information.

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?

Given zero parameters and the presence of an output schema (implied), the description completely explains the tool's behavior, return values, and usage context. It leaves no gaps.

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

Parameters5/5

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

There are zero parameters, and schema coverage is 100% (empty). The description adds meaning beyond the schema by explaining the tool's purpose, use case, and return format, which is the baseline of 4 for no parameters; it exceeds that.

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 it returns the full catalog dump with no filtering, listing every RDF database with specific fields. It explicitly distinguishes itself from the sibling tool `find_databases`, describing itself as supplementary.

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 provides when to use (full catalog with no filter) and when not to (normal workflow should use `find_databases` first). This is precise guidance.

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/dbcls/togomcp'

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