Landscape Briefing

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

The annotations already declare the operation readOnly and idempotent, but the description adds significant non-obvious behavior: failed hourly runs still write a one-bullet posture stub, the newest row is usually not a genuine synthesis, and fallback status is exposed through fields like latest_is_fallback and narrative_ok. This is exactly the kind of appendix the model runtime an agent would never infer from annotations alone.

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 first sentence delivers the core purpose, and the following sentences provide only high-value caveats and field names. Each piece adds actionable detail — the fallback condition, the fields that detect it, and the invariant that briefings[0] is the newest row. There is no filler and no duplication of the schema.

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?

For a read-only tool with no parameters and an output schema, the description covers the entire important decision surface: what the tool returns, when the newest row is unreliable, what fallback indicators exist, and how to determine whether the newest narrative is real. Nothing material is missing for correct invocation and interpretation.

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 tool has zero parameters, so there is no parameter semantics for the description to elaborate. Schema coverage is effectively 100% and the 0-parameter baseline applies. The description correctly spends its limited length on response semantics rather than inventing parameter information.

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 opens with a specific verb and resource: 'Get the latest threat-landscape briefing' and defines it as 'a synthesized posture summary of recent threat activity.' It also clearly distinguishes the tool by explaining that the latest returned row is usually a fallback stub, not a real summary, which separates this tool from simpler briefing fetchers.

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?

The description implies usage when a latest landscape briefing is wanted and goes into depth about how to interpret the response. Nevertheless, it does not explicitly compare with related sibling tools such as get_latest_debrief or get_daily_intel_bundle, nor does it state when this tool should be preferred or avoided. Usage context is implied rather than explicit.

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