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bridge_flows

Requires a ChainHelix API key as bearer token, or 2 cents per call paid over Binance b402 in USDT, USDC, USD1 or U on BNB Smart Chain, or over x402 in USDC on the Base network. Layer two bridge activity for arbitrum, base and optimism over a window: deposits, withdrawals proven and finalized, message counts, value moved in ETH. window in hours, default 24, max 720. Omit l2 for all three

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
l2No
windowNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description does most of the transparency work: it reveals authentication requirements, per-call payment costs and mechanisms, aggregation semantics, window limits, and multi-network default behavior. It does not explicitly state read-only semantics or other side effects, but nothing suggests a mutating operation.

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

Conciseness3/5

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

Every sentence is informative, but the core purpose is delayed behind a long and detailed billing/authentication preamble. The description is not bloated, but it is not well front-loaded for an agent that needs to quickly determine what the tool does before deciding whether to call it.

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?

The description covers access, payment, both parameters, supported networks, default behavior, and output semantics. The presence of an output schema and only two optional parameters makes this sufficient for an agent to call the tool correctly, though a brief explicit statement of what the response contains would have pushed it higher.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must compensate, and it does. It defines the allowed l2 values ('arbitrum', 'base', 'and optimism'), their optionality, and the meaning and bounds of window ('hours, default 24, max 720'). This is precisely the semantic detail the schema lacks.

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 clearly identifies the resource: 'Layer two bridge activity for arbitrum, base and optimism' and lists concrete returned metrics such as deposits, withdrawals, message counts, and ETH value. It is distinguishable from sibling tools like stablecoin_flows and whale_flows by the bridge-specific focus, though it lacks an explicit action verb such as 'returns' or 'lists'.

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?

It gives practical invocation guidance: window units with default and maximum values, and the instruction to 'omit l2 for all three' networks. There is no explicit comparison to alternative tools, but the intended usage context is 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

C2.9/5.0
Disambiguation2/5

Several tools occupy nearly the same territory: market_state, situation_report, and deep_report all present overlapping per-chain market analysis at different comprehensiveness levels. attest_spec and proof_spec are also near-identical, and attest_status, attestation_stats, and list_attestations use similar attestation vocabulary. Most data tools have unique jobs, but the overlapping report and verification tiers create real misselection risk.

Naming Consistency3/5

The server consistently uses snake_case but mixes noun-style data endpoints like prices and wall_map with command-style actions like attest, buy_key, and verify_reveal. Report names are also uneven: market_state, situation_report, and deep_report signal only vague depth differences. The set is readable but does not follow a single predictable convention.

Tool Count2/5

With 29 tools, this exceeds the heavy threshold and spans roughly four distinct functional areas: market data, attestation, key management, and webhooks. Each tool may earn its place individually, but the overall menu is too large for one MCP server; splitting it into data and attestation/administration servers would be clearer.

Completeness4/5

The attestation lifecycle is well covered with creation, status, listing, reveals, stats, and independent verification, and the key purchase and webhook workflows are also complete. The main gaps are historical-depth data, explicit key revocation, and a direct hire action despite hireable agents being listed, but agents can generally work around these. Core workflows do not dead-end.

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