Search tokens
search_tokensSearch for tokens by symbol or name across all monitored exchanges. Requires: query.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query (e.g. BTC, ETH, DOGE) | |
| exchange | No | Filter by exchange (optional) |
search_tokensSearch for tokens by symbol or name across all monitored exchanges. Requires: query.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query (e.g. BTC, ETH, DOGE) | |
| exchange | No | Filter by exchange (optional) |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds the useful scope that the search spans 'all monitored exchanges,' but says nothing about result limits, pagination, or matching semantics 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences with the core purpose front-loaded and the requirement appended. No wasted text, though the trailing requirement sentence is slightly redundant with the schema.
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?
For a simple two-parameter read-only search with full schema coverage and complete annotations, the description is essentially complete. No output schema exists, so return values need not be explained, and nothing critical is missing.
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 (query with examples, exchange as a filter). The description adds the marginal meaning that query matches symbol or name, but the schema does the heavy lifting, so baseline 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?
The description states a specific verb (search) and resource (tokens) with scope (by symbol or name, across all monitored exchanges). It is clear what the tool does, but it does not explicitly distinguish itself from adjacent siblings like get_token_intel, get_token_research, or get_price.
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 guidance on when to use this versus alternatives such as get_token_intel or get_token_research. The only usage note is the prerequisite 'Requires: query,' which restates the required schema field rather than helping an agent choose this tool.
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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