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Kyte

list tokens

list_tokens
Read-onlyIdempotent

Which tokens are listed on Kyte and can have options written on them, with whether puts are enabled, the exposure cap and the minimum strike per token. Read-only.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional filter: part of a symbol or name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the closing 'Read-only' adds nothing new. What the description does contribute is the payload shape per token (put enablement, exposure cap, minimum strike), which matters because there is no output schema, but it says nothing about ordering, pagination, or coverage when a token lacks options.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single tight sentence with the scope front-loaded and no wasted clauses. The only weakness is that it opens with a relative clause rather than a verb, making the action slightly less immediately scannable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-optional-parameter read tool with full annotation coverage, the description is largely sufficient: it conveys eligibility semantics and the per-token fields returned, filling the gap left by the absent output schema. It stops short of stating result ordering or whether all listed tokens are returned regardless of filter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the single optional 'query' parameter, and the schema already documents it as a partial symbol or name filter with a 32-character cap. The description never mentions filtering at all, so it adds no meaning beyond the schema; baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the specific resource (tokens listed on Kyte that can have options written on them) and enumerates the per-token attributes returned (puts enabled, exposure cap, minimum strike). This distinguishes it from list_graduated and list_strategies by data domain, though it does not name any sibling explicitly and the leading 'Which tokens...' phrasing leaves the list verb implied rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer it is the discovery call for tradable underlyings, but the description gives no explicit when-to-use, no prerequisites, and no routing to alternatives such as find_offers or explain_offer. It also does not say whether this is a prerequisite step before prepare_covered_call or prepare_cash_secured_put.

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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