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cortex_search

Search across dictionary, issues, snippets, research, and progress with keyword, semantic, or hybrid modes for ranked results.

Instructions

Search across dictionary, issues, snippets, research, and progress. Supports keyword (FTS5), semantic (vector), and hybrid (RRF fusion) modes. Returns ranked results with source table, id, and matched snippet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query
modeNoSearch mode: keyword, semantic, or hybrid (default: hybrid)
tablesNoLimit search to specific tables: dictionary, issues, snippets, research, progress
Behavior4/5

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

With no annotations, the description carries the burden. It discloses the return format (ranked results with source table, id, matched snippet) and available modes. It does not mention rate limits or side effects, but as a read-only search, this is adequate.

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 with zero waste. Each sentence provides essential information: scope, modes, and return format. Efficient and front-loaded.

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 the tool's complexity (multi-table search, three modes), the description covers all key aspects. No output schema, but return format is described. Adequate for selection and invocation.

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?

Schema coverage is 100%, so baseline 3. The description adds value by explaining mode specifics (FTS5, vector, RRF fusion) beyond the schema descriptions, which only list options.

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 searches across multiple entities (dictionary, issues, snippets, research, progress) and specifies supported modes (keyword, semantic, hybrid). It effectively distinguishes from sibling tools which are primarily CRUD operations.

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 general search usage but does not explicitly provide when-to-use or when-not-to-use guidance. No alternatives are mentioned, but sibling tools are different enough that confusion is unlikely.

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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