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Get Contract Abi

get_contract_abi
Read-onlyIdempotent

Verified contract ABI as JSON (if the contract is verified on Etherscan).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoChain slug or chain ID (default ethereum)
addressYesContract address

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
abiYesParsed ABI array or string, null if unverified
addressYesThe queried contract address
chain_idYesNumeric chain ID
verifiedYesWhether contract is verified on Etherscan

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds valuable behavioral context: the dependency on Etherscan verification and the output format (JSON), which are not in 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?

The description is a single front-loaded sentence with no extraneous words. Every word adds value, and the key information (what, format, condition) is immediately clear.

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 tool has only two parameters with full schema coverage, annotations, and an output schema, the description suffices for a simple query tool. It could mention error handling for unverified contracts, but overall it is complete.

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 description coverage is 100%, so baseline is 3. The description does not add significant meaning beyond what the schema provides for the two parameters (chain and address). It mentions JSON output but no additional parameter details.

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 retrieves the verified contract ABI as JSON. It specifies the resource (contract ABI) and verb (get), and distinguishes from siblings like get_contract_source which retrieves source code.

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 implies usage condition: only works for contracts verified on Etherscan. It does not explicitly mention when to use versus alternatives, but the sibling list shows distinct tools (e.g., get_contract_source), making context clear.

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

A3.8/5.0
Disambiguation1/5

Multiple tools serve nearly identical purposes (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research) with only marginal differences, and the Polymarket family (bet_research, polymarket_arbitrage, polymarket_edges, polymarket_fill_risk, polymarket_edge_tracker, polymarket_kalshi_spread) heavily overlaps in its goal of finding betting edges. An agent would struggle to pick the right tool without reading every description in detail.

Naming Consistency3/5

All names use snake_case, but the pattern is inconsistent: verb_noun (get_balance, list_transactions), noun phrases (entity_profile, recent_changes), brand prefixes (pipeworx_trending, polymarket_edges), and adjectival forms (deep_research, compare_entities). The naming is readable but does not follow a single predictable convention.

Tool Count2/5

With 36 tools, the count exceeds the 25+ threshold for 'too many' even for a general-purpose data server. The situation is worsened by the fact that the server is named Etherscan but only 5 of the 36 tools relate to Ethereum/blockchain, making the count unjustified for the apparent purpose.

Completeness4/5

For the de facto domain (Pipeworx data routing, prediction-market research, entity profiles, claim validation, subscriptions, memory), the tool surface is quite comprehensive: it covers lookup, research, comparison, grounding, and monitoring. Missing are a few edge operations (e.g., no Etherscan transaction-by-hash tool), but the broader domain is well-covered with only minor gaps.