get_token
Owner, traits, seed, image, subname for a token id.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Owner, traits, seed, image, subname for a token id.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It reveals which fields come back but says nothing about read-only behavior, what happens on a nonexistent id, error handling, or whether it hits chain vs cache; the field list is the only behavioral signal.
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?
Very short and free of padding, but it is a comma-separated fragment with no verb or sentence structure, so it is under-specified rather than well-structured. Nothing is front-loaded because there is no lead statement of what the tool does.
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 and no annotations, the description is the only documentation. It does at least enumerate the expected return fields, but leaves the tool's operation, error behavior, and the meaning of fields like 'seed' and 'subname' unexplained for a lookup that is central to a token-metadata workflow.
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 0%, so the schema only says 'id: integer, minimum 1'. The description echoes this as 'a token id' without adding format, range, or identity guidance (e.g., ERC-721 token id, per-collection scoping), so it does not compensate for the coverage gap.
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 is a noun phrase enumerating returned fields (owner, traits, seed, image, subname) scoped to 'a token id', with no verb. It implies a per-token metadata lookup and is distinguishable from list_punk (many punks) and get_status/get_market, but the purpose itself must be inferred rather than read.
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?
There is no statement of when to call this versus siblings like list_punk or get_status, and no prerequisites or exclusions. An agent must guess that this is the single-token detail lookup.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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