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

With no annotations, the description carries the full burden, and it does disclose non-obvious behavior: a possible first-line DEGRADED notice when live data is unavailable, a settlement proof artifact (ProofOfSettledOutcome, kind 30120), the shared methodology, and an x402 price of $0.06 USDC per call. It stops short of describing auth requirements or the shape of the scored output, so 4 rather than 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?

Front-loads the core promise ('Social + news sentiment read...') before proof/pricing housekeeping. It is dense with four distinct clauses, but each earns its place by covering methodology, provenance, degradation, and cost; slightly compressed but not padded.

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 one-parameter tool with no annotations and no output schema, the description supplies the essentials an agent needs: what it returns conceptually (scored, sourced sentiment), its sibling relationship, its degraded-mode behavior, and its cost. The main residual gap is the exact return shape, but the 'scored and sourced' phrasing is a reasonable stand-in.

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% for the single 'task' parameter, so the baseline is 3. The description adds no syntax, format, or example guidance for what belongs in the task string beyond the phrase 'named crypto asset or topic,' which is already implied.

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+resource ('sentiment read for a named crypto asset or topic, scored and sourced') and explicitly disambiguates from a sibling by noting it uses the same methodology as research.topic-sentiment-analyzer but is 'scoped to crypto assets instead of general topics.' An agent can pick it apart from research.topic-news-scanner and research.topic-sentiment-analyzer without opening a schema.

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 scope rule versus research.topic-sentiment-analyzer ('crypto assets instead of general topics') gives a clear selection criterion. It also flags that output may arrive with a DEGRADED notice, implying the call still succeeds when live data is thin. There is no explicit when-not-to-use or prerequisite statement, so it falls short of a 5.

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