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

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only operation via 'Return', but it does not disclose data source freshness, authentication requirements, pagination, or side effects. For a tool that returns source-backed signals, more behavioral context is needed.

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?

The description is a single front-loaded sentence with no filler. Qualifiers like 'current' and 'source-backed' add useful meaning and every word earns its place.

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?

An output schema exists, so return-value documentation is less critical, but the tool still lacks parameter semantics, usage context, and behavioral detail. With 5 optional filters and many similarly named agentic tools, the description alone is not enough for confident invocation beyond calling with no arguments.

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?

The input schema has 5 parameters with 0% description coverage and no enums, and the tool description does not define horizon, priority, signal_id, capability_id, or minimum_score. The parameter names are somewhat self-explanatory, but accepted values and semantics are left entirely to the agent.

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 uses a specific verb ('Return') and a clear resource ('current source-backed agentic AI threat signals and product priorities'). It tells the agent what the tool produces, though it does not explicitly differentiate from the many agentic risk-related sibling tools.

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?

No when-to-use guidance or alternatives are named. The qualifiers 'current' and 'source-backed' weakly imply a freshness-oriented use case, but they do not explain when to choose this over siblings like recipes_agentic_aivss_risk_scoring_pack or recipes_agentic_risk_register.

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