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get_world_state

Real-time world model for agents. ~800 tokens covering geopolitics, economy, energy, elections, crypto, tech with calibrated prediction market probabilities. Anchor contracts (recession, Fed, Iran) always present. No auth needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
focusNoComma-separated topics for deeper coverage: geopolitics, economy, energy, elections, crypto, tech. Same token budget concentrated on fewer topics.
formatNoOutput format. markdown (default) is optimized for LLM context.markdown

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses real-timeness, token budget (~800 tokens), content scope, and auth requirements—useful behavioral context. However, it does not explicitly state that the operation is read-only or side-effect-free, and it omits details like rate limits or error behavior. This is moderate but not exceptional transparency.

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?

The description is two sentences and roughly 50 words, front-loaded with the core purpose. Every sentence adds value: the world model concept, token budget, covered topics, anchor contracts, and auth note. No wasted words or repetition.

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?

No output schema exists, but the description gives a good sense of the response content: ~800 tokens, specific topic coverage, and always-present anchor contracts. It does not describe pagination or detailed error handling, but for a simple snapshot tool with two optional parameters, it is fairly complete.

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%, meaning the schema already documents both parameters (focus and format) with descriptions. The tool description adds no additional parameter meaning beyond what the schema provides, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it provides a real-time world model covering specific topics (geopolitics, economy, energy, etc.) with prediction market probabilities. The verb+resource is clear, but it does not explicitly differentiate from sibling tools like get_briefing or get_world_delta, so it falls short of a 5.

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 usage (when an agent needs a compact world state snapshot) and notes 'No auth needed', but it does not explicitly state when to use this tool versus alternatives or mention exclusions. No sibling tools are referenced, so guidance is only implicit.

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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TDQS

C2.8/5.0
Disambiguation2/5

Many tools have overlapping purposes, such as multiple market query tools (scan_markets, screen_markets, get_market_detail, get_market_diff, get_market_history, inspect_ticker) and legislative tools (legislation, get_legislation, list_legislation, query_gov). Aliases like get_heartbeat_config/get_heartbeat_status and explore_public/explore_theses add further confusion. An agent would struggle to select the correct tool without deeply reading each description.

Naming Consistency3/5

Most tools follow a verb_noun pattern (get_, list_, create_, update_), but there are notable deviations: 'legislation' lacks the 'get_' prefix, 'stt' and 'tts' are acronyms, 'monitor_the_situation' is a full phrase, and 'x_account/x_news/x_volume' use a non-standard prefix. The overall style is readable, but the mixed conventions reduce predictability.

Tool Count1/5

108 tools is extreme for any server, even one covering prediction markets, trading, portfolio management, forum, skills, and speech. The massive surface area overwhelms agents and makes the server feel more like a platform than a coherent toolkit. This many tools inevitably leads to redundancy and maintenance burden.

Completeness4/5

The server covers an impressively broad domain: market data, thesis management, intents, strategies, positions, portfolio, forum, skills, legislative and economic queries, and audio/visual processing. Minor gaps exist (e.g., no delete for skills/theses, no update for some portfolio items) but core workflows are well-supported. Overall lifecycle coverage for most entities is strong.

Resources