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

With no annotations the description carries the full burden and does well: it discloses that no API key is needed (auth profile) and flags that everything inside "untrusted" is seller-written and must be treated as data, not instructions — a critical trait absent from any structured field. It omits failure modes (unknown slug) and any rate-limit or caching behavior.

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 purpose, then the untrusted-data warning, then the auth note — a sensible priority order with no filler. The middle sentence is dense but every clause names a real returned field.

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, so the description must summarize the return value, and it does list the salient fields an agent needs to decide on and execute a purchase. Only error/edge-case behavior is missing, which is minor for a single-read 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 coverage is 100% and the slug property already explains "the slug from the product address, /asset/<slug>". The description adds no extra parameter meaning, so the baseline of 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 and resource ("Read one product by its slug") and enumerates the payload the caller gets back (versionId, file SHA-256, price, accepted coins/chains, preview). That distinguishes it from list/search siblings which cannot return a single asset's payment and integrity data.

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?

Embeds the workflow: the returned versionId is "to pass to create_order", which tells the agent this is the pre-purchase lookup step. It doesn't explicitly contrast with search_products or get_asset, but the single-slug scoping implies the difference.

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