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yoloshii

gigaxity-deep-research

by yoloshii

reason

Performs chain-of-thought reasoning on problems using either internal knowledge or pre-gathered sources, with adjustable depth for thorough analysis.

Instructions

Deep reasoning with chain-of-thought analysis.

Two modes, picked automatically by whether sources is provided:

  • No-sources mode (default): direct chain-of-thought over the model's own knowledge plus optional context. Use for problems the model can reason about without external evidence; depth-controlled via reasoning_depth.

  • Sources-aware mode (when sources is non-empty): chain-of-thought synthesis over the pre-gathered sources, with the same shape REST /api/v1/reason produces. reasoning_depth is ignored in this mode — the chain-of-thought prompt is fixed because the reasoning shape is what matters here, not the prose register.

For style variants over pre-gathered sources, call synthesize directly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesProblem or question requiring reasoning
contextNoBackground information or constraints (no-sources mode only)
sourcesNoPre-gathered sources to reason over. If provided, switches to sources-aware mode and uses chain-of-thought synthesis.
reasoning_depthNoHow thorough (no-sources mode only). shallow=2-3 steps, moderate=4-6, deep=7+moderate
openrouter_api_keyNoPer-request key override; defaults to RESEARCH_LLM_API_KEY.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Despite no annotations, the description discloses important behavioral traits: mode switching based on 'sources', that 'reasoning_depth' is ignored in sources-aware mode, and the fixed prompt nature in that mode. It also mentions the per-request API key override. Could be improved by explicitly stating it is a read-only operation with no side effects.

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?

Well-structured with clear mode breakdowns, using bullet-like formatting for readability. Every sentence provides necessary information, no wasted 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?

Given the presence of an output schema, the description doesn't need to detail return values. It covers the two modes, parameter behavior, and alternative tools. Missing aspects like error handling or rate limiting, but overall sufficient for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, baseline 3, but the description adds significant context: explains the two modes and how parameters behave differently in each (e.g., 'context' and 'reasoning_depth' only in no-sources mode, 'sources' switches modes). This greatly enriches the agent's understanding.

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 defines the tool's purpose: deep reasoning with chain-of-thought analysis, with two distinct modes. It distinguishes itself from the sibling tool 'synthesize' by noting that for style variants over pre-gathered sources, one should call 'synthesize' directly.

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

Usage Guidelines5/5

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

Explicitly states when to use each mode: no-sources mode for problems requiring reasoning without external evidence, sources-aware mode when sources are provided. Also provides an alternative: 'For style variants over pre-gathered sources, call synthesize directly.'

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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