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cogniahq

@cogniahq/mcp

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by cogniahq

cognia_search

Search across your workspace memories, documents, and browsing history using hybrid dense and sparse retrieval with reranking for relevant results.

Instructions

Hybrid (dense + sparse BM25) search across the user's Cognia memories with cross-encoder reranking. Use this whenever the user asks about anything in their workspace, documents, or browsing history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe natural-language search query.
limitNoMax results to return (1-50). Default 10.
Behavior3/5

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

Without annotations, the description carries the full behavioral burden. It mentions hybrid search and reranking, but does not disclose any potential side effects, authentication needs, or rate limits. For a read-like tool, this is adequate but not comprehensive.

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 with no wasted words; the most critical information (search type and usage context) is front-loaded.

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?

The description is complete for a simple search tool: it explains the hybrid nature, reranking, and when to use it. Lack of output schema is acceptable since description covers behavior. Minor gap: no mention of return format.

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 covers both parameters (query and limit) with descriptions. The tool description adds context about search type but no additional parameter details beyond the schema, so baseline 3 is appropriate.

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 tool performs hybrid search across Cognia memories and explicitly mentions workspace, documents, and browsing history, distinguishing it from sibling tools like cognia_get_memory and cognia_list_memories.

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?

The description provides explicit guidance: 'Use this whenever the user asks about anything in their workspace, documents, or browsing history,' which tells when to use it, though it doesn't mention alternatives for 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.

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