Skip to main content
Glama
FASTPROD

ContextEngine

Official
by FASTPROD

list_sources

List all knowledge sources indexed by ContextEngine, showing their status and chunk counts to verify what information is available.

Instructions

List all knowledge sources indexed by ContextEngine, with their status (found/missing) and chunk counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the full burden. It only states what information is returned (status and chunk counts), missing any mention of side effects, idempotency, authentication requirements, or rate limits. While likely safe, this is not disclosed.

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 concise sentence that front-loads the key action and purpose, with no unnecessary words.

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

Completeness4/5

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

For a simple listing tool with no parameters, the description covers the main purpose and output fields. It could mention that it returns an array, but that is implied. Minor missing details like authentication are typical for such tools.

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?

There are zero parameters, so the baseline is 4. The description adds no parameter information because none is needed; the schema already provides full coverage.

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 the action ('list'), the resource ('knowledge sources'), and includes specific output details ('status and chunk counts'). It effectively distinguishes from siblings like 'read_source' which is for individual sources.

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

Usage Guidelines3/5

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

The description implies usage for listing all sources but does not explicitly provide when to use vs alternatives or any exclusions. Lacks guidance on when to use this over other list tools.

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/FASTPROD/ContextEngine'

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