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jakedx6

Helios-9 MCP Server

by jakedx6

universal_search

Search across projects, tasks, documents, and conversations using keyword or semantic search with filters like status, priority, assignee, date range, and tags.

Instructions

Search across all projects, tasks, documents, and conversations with intelligent ranking

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query text
search_typesNoTypes of content to search
filtersNoAdditional filters to apply
limitNoMaximum number of results to return
include_snippetsNoWhether to include content snippets in results
semantic_searchNoUse semantic similarity instead of keyword matching
Behavior2/5

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

With no annotations, the description carries full burden but only mentions 'intelligent ranking' without explaining behavioral traits like rate limits, authentication, or data freshness. This is insufficient for a complex search tool.

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?

A single 14-word sentence that is clear and front-loaded. Every word contributes to the purpose.

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

Completeness2/5

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

Despite 6 parameters including a nested object and no output schema, the description omits details: it lists only 4 of 5 search types, doesn't mention the 'filters' object or 'semantic_search' parameter, and fails to describe return format or pagination.

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 description coverage is 100%, so the baseline is 3. The description adds no extra meaning beyond what the schema already provides.

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 verb 'Search' and enumerates the resources: 'projects, tasks, documents, and conversations'. Mention of 'intelligent ranking' distinguishes it from simple search tools like 'search_workspace' or 'semantic_search'.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus its siblings (e.g., semantic_search, search_workspace). There is no mention of when not to use it or alternatives.

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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