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

Beyond the readOnly/openWorld annotations, it discloses runtime behavior and operational context: about one minute, automated public sources with flagged gaps, informational-only status, per-call pricing of 0.83 USDC via x402, the payment endpoint, and fee/identity provenance. These are meaningful execution and trust details with no contradiction of the annotations.

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 purpose and input details are front-loaded and the payment line is useful. However, the description is lengthy and includes promotional/provenance details such as the 10% fee supporting GHOST77, identity verification links, and payout wallet information that are not necessary for selecting or invoking the tool.

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?

There is no output schema, but the description effectively defines the report contents the agent will receive. It also covers latency, data provenance, limitations, disclaimer, payment protocol, and endpoint, which is enough to decide whether and how to call the tool.

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 description coverage is 100%, so both parameters are already documented in the schema. The description repeats the accepted input forms and adds a concrete example, but it does not add constraints or semantics beyond what the schema already provides.

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?

It states a specific resource and deliverable: a crypto project research report covering what the project does, team/backers, tokenomics, on-chain and market data, news, risks, and a verdict. The agent can tell what it produces, but the description does not explicitly differentiate it from sibling research tools such as contract_research or token_due_diligence.

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 gives clear usage context with 'Understand a crypto project fast' and explains accepted inputs such as project name, ticker, token address, and optional chain. It does not state exclusions or explicitly route the agent away from overlapping siblings, but the intended use case is clear.

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