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Search for Tokens

cow_search_tokens
Read-onlyIdempotent

Search for tokens by symbol or name across multiple networks. Returns up to 10 matching tokens with addresses and metadata.

Instructions

Search for tokens by symbol or name across networks.

Args:

  • query: Search string (e.g., 'USDC', 'cow', 'wrapped')

  • network: Optional network filter

Returns up to 10 matching tokens with addresses and metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query (symbol or name)
networkNoOptional network filter
Behavior4/5

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

Annotations already cover readOnly, idempotent, non-destructive. Description adds key behavioral details: returns up to 10 matching tokens with addresses and metadata, going beyond annotations.

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

Conciseness5/5

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

Extremely concise: two sentences plus an argument list format. Every sentence is necessary and front-loaded with the core purpose. No wasted words.

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?

Given no output schema, the description adequately explains the return (up to 10 tokens with addresses and metadata). It could mention the limit of 10 more prominently, but overall complete for an idempotent search tool.

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

Parameters4/5

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

Schema coverage is 100% with clear descriptions. The description adds value by providing concrete examples ('USDC', 'cow', 'wrapped') and explaining the optional network filter, enhancing usability.

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

Purpose5/5

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

The description clearly states the tool searches for tokens by symbol or name across networks, using specific verbs 'search' and 'tokens', distinguishing it from siblings like cow_resolve_token which likely does exact resolution.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives (e.g., cow_resolve_token for exact match). The description only explains the tool's action without context for selection.

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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