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

With no annotations, the description carries the full burden and does well: it discloses the credit cost (10 per call), the daily generation cadence, the 40+ source pipeline, and the structure of each event. It omits auth/permission requirements and any rate limits, leaving a few gaps for a paid tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four front-loaded sentences that describe output, generation, language, and cost with little waste. Slightly dense but every sentence adds decision-relevant information.

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

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

With no output schema, the description usefully describes the return shape (impact score 1-10, affected sectors/assets, actionable implications) and the language parameter. It is complete enough to invoke correctly, though permission requirements for a credit-consuming call are unstated.

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

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

Schema description coverage is 100% and the single 'lang' parameter already documents 'en' default and 'de' with an enum. The description repeats the same language options without adding syntax or fallback behavior, so the baseline of 3 applies.

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

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

The description states a specific verb ('Returns') and a concrete resource (AI-generated geopolitical intelligence briefing with risk assessments across six named domains). It is readily distinguishable from siblings like get_events or get_risk_index by content, though it does not explicitly name or contrast those alternatives.

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

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

Usage context is only implied: the daily generation cadence and 10-credit cost give the agent decision signals, but there is no explicit when-to-use, when-not-to-use, or named alternative among the many sibling intelligence tools. The agent must infer the scenario itself.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.