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

Beyond the readOnlyHint annotation, the description discloses the per-call price ($0.05), the methodology (deterministic lexicon, no LLM), and that results are auditable — exactly the cost and reproducibility signals an agent needs before spending budget. It also enumerates the return payload in enough detail to set expectations without an output schema.

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?

A single dense sentence with no filler; every clause (price, output components, methodology) earns its place. It is somewhat run-on, and leading with the price tag rather than the capability slightly delays the core purpose.

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 available, the description takes on the full burden of describing returns and does so comprehensively — index, label, mood, sentiment counts, by-day trend, and ranked drivers. Cost and determinism are also covered, leaving no significant gap for an agent deciding whether to call it.

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 coverage is 100% and the single 'topic' parameter carries an enum plus a documented default of 'nasional', so the schema fully carries parameter meaning. The description does not mention the topic selector at all, so it adds nothing beyond that baseline.

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 concrete deliverable (a 0-100 sentiment index plus label, mood, counts, trend, and drivers) for a clearly bounded scope (a single Indonesian news beat). That makes it readily distinguishable from siblings like indonesia_headlines or indonesia_feed, though it never names an alternative to sharpen the contrast.

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 is implied by the described output shape: an agent can infer this is the tool for sentiment rather than raw article retrieval. However, there is no explicit when-to-use statement, no exclusion (e.g., 'not for keyword search'), and no routing to indonesia_coverage_report or indonesia_digest.

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