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Lookup Token by Symbol

lookup_token_by_symbol
Read-only

Search for token addresses by symbol or name. Returns multiple potential matches based on symbol or token name similarity. Only the first 7 matches from the Blockscout API are returned.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesToken symbol or name to search for
chain_idYesThe ID of the blockchain
session_idNoOpaque session identifier.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe main data payload of the tool's response.
notesNoA list of important contextual notes, such as warnings about data truncation or data quality issues.
paginationNoPagination information, present only if the 'data' is a single page of a larger result set.
content_textNoOptional human-readable summary used for MCP content responses.
instructionsNoA list of suggested follow-up actions or instructions for the LLM to plan its next steps.
data_descriptionNoA list of notes explaining the structure, fields, or conventions of the 'data' payload.

TDQS

A4.4/5.0
Behavior4/5

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

Beyond the annotations (readOnlyHint true, destructiveHint false), the description adds important behavioral details: matches are based on symbol/name similarity, multiple potential matches may be returned, and only the first 7 from the Blockscout API are included. This provides useful context about the fuzzy matching and result truncation behavior.

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?

The description is three concise sentences, each serving a purpose: what it does, the nature of results, and the limit. It is front-loaded with the action and contains no filler or repetition.

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 the output schema and annotations, the description covers key contextual gaps: the fuzzy matching behavior and the 7-match limit. It does not explicitly state behavior for no matches, but that is likely covered by the output schema. Overall, it is sufficiently complete for a search tool with a structured response.

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 description coverage is 100%, so the baseline is 3. The description adds semantic value by explaining that the search uses 'symbol or token name similarity' and returns 'potential matches', indicating fuzzy matching rather than exact lookup. This goes beyond the schema's simple 'Token symbol or name to search for'.

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 states 'Search for token addresses by symbol or name' with a specific verb and resource, and clarifies it returns multiple potential matches. It is clearly distinguished from siblings like get_tokens_by_address by focusing on symbol/name lookup rather than address-based queries.

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

Usage Guidelines4/5

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

The description clearly implies when to use this tool: when you need to find token addresses from a symbol or name. It notes that results are based on similarity and only the first 7 matches are returned, helping set expectations. However, it does not explicitly name alternatives or exclusions, though the purpose makes the use case obvious.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct blockchain resource or action (address, block, transaction, token, NFT, contract, chain, raw API, session init). Even though direct_api_call is a generic fallback, the specialized tools have clear, non-overlapping purposes, and the complementary nature of tools like get_token_transfers_by_address and get_transactions_by_address is explicitly documented.

Naming Consistency4/5

The majority of tools follow a consistent get_<resource> pattern (e.g., get_block_info, get_tokens_by_address), but there are notable deviations: direct_api_call, lookup_token_by_symbol, inspect_contract_code, read_contract, and __unlock_blockchain_analysis__. These verbs are still descriptive and readable, but the mix of 'get' with other verbs prevents a perfect 5.

Tool Count4/5

With 16 tools, the server is slightly above the ideal 3-15 range but not excessive. Each tool maps to a significant Blockscout API capability, and the count feels proportional to the breadth of blockchain data covered. It is heavier than a minimal toolkit but not bloated.

Completeness4/5

The tool set covers core exploration workflows: address info, block lookup, transaction details, token/NFT holdings, contract ABI/source inspection, and read-only contract calls. Minor gaps like a dedicated token-info-by-contract-address tool exist, but the direct_api_call fallback and get_address_info's token details mitigate these. The surface is comprehensive for a read-only blockchain explorer.