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

With no annotations, the description carries the full behavioral burden and does well: it discloses deduplication, newest-first ordering, a ten-minute refresh cadence, whole-word/case-insensitive matching, 'no LLM', 'informational only', and a $0.01 x402/USDC payment requirement. It omits rate limits and failure modes, keeping it just short of a 5.

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?

Effectively a single dense sentence front-loaded with the core purpose, followed by short payoff clauses ('no LLM', 'Informational only', price). Nearly every clause earns its place, though the run-on structure slightly reduces scannability.

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?

Despite having no output schema, the description enumerates the returned fields (title, link, publisher, published time, short summary) along with ordering and item cap. Combined with the source list and payment model, an agent has everything needed to call and interpret 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%, so query, hours (default 48, 1-168), and limit (max 50) are already documented in the schema. The description restates the defaults and the matching semantics but adds no syntax, format, or edge-case guidance beyond the structured fields, so the baseline 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?

States a specific verb (search) and resource (crypto/markets headlines) plus the exact source corpus of twelve named feeds, so an agent can distinguish it from generic siblings like scrape_markdown or topic_brief. The scope (titles and summaries, fixed public feeds) is unambiguous.

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 makes the tool's niche inferable (matching words against a fixed crypto/markets feed set) but never explicitly says when to pick it over siblings such as topic_brief, claim_check, or scrape_markdown, nor states any exclusion. Usage is left to inference.

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