Skip to main content
Glama
agentoom

Agentoom Knowledge

Official

Search Knowledge

search-knowledge

Search across all connected knowledge sources with automatic retrieval strategy selection. Filter results by structure or constrain the search type to semantic, structured, or hybrid.

Instructions

Unified search across all knowledge sources. The server determines the best retrieval strategy internally. Use filters for structured filtering and search_type to constrain the retrieval approach.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoThe search query string.
filtersNoOptional structured filters for narrowing results. Keys and values depend on the provider.
namespaceNoOptional namespace to scope the search (e.g., "docs", "erp", "hr").
max_resultsNoMaximum number of results to return. Defaults to 10.
search_typeNoOptional search type: "semantic", "structured", or "hybrid". Defaults to "hybrid" which lets the planner decide.
Behavior3/5

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

No annotations provided, so description carries the burden. It reveals that the server determines the retrieval strategy internally, but does not disclose whether the operation is read-only, side effects, authentication needs, or rate limits. This is adequate but not thorough.

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?

Two sentences, front-loaded with the main purpose, followed by targeted parameter guidance. No unnecessary words, every sentence adds value.

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?

Covers basic usage and parameter hints, but lacks details on return format, pagination, or result structure. With no output schema, the description could provide more context about what results look like.

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 coverage is 100%, so baseline is 3. Description adds context on filters and search_type beyond schema descriptions, reinforcing their purpose. However, it does not add significant new details for other parameters.

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 performs a unified search across all knowledge sources, with a specific verb and resource. It distinguishes from siblings like list-sources and get-source-schema by focusing on searching rather than listing or schema retrieval.

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?

Provides guidance on using filters and search_type parameters, and notes that the server determines the best strategy. However, it does not explicitly state when to use this tool versus alternatives or when not to use it.

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/agentoom/knowledge'

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