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daily_digest

One hash per day: the Merkle digest of every reveal, hire deliverable and verification record stored on BNB Greenfield that day, with its root sealed on opBNB. Optional date YYYY-MM-DD, default the latest

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo
daysNo
rootNo
foundYes
leavesNo
sealedNo
verifyNo
digestUrlNo
digestBytesNo
digestSha256No

TDQS

B3.4/5.0
Behavior3/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It usefully states that the tool returns one hash per day and that the digest covers records stored that day, but it does not explicitly describe read-only behavior, edge cases, or what happens when no data exists for a requested date.

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

Conciseness4/5

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

The description is one compact sentence with no filler. It front-loads the core result concept, then the data origins, the platform, and the parameter behavior. It is dense but efficient.

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?

For a simple, one-optional-parameter read tool, the description provides enough behavior about the returned digest and the default date. Context signals indicate an output schema exists, so the description does not need to explain return format in detail. It is complete for basic invocation but does not cover timezone or missing-data behavior.

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?

The schema only defines 'date' as a string, so the description adds the critical format, optionality, and default behavior: 'YYYY-MM-DD' and default to the latest. This compensates well for the schema's near-zero parameter documentation, though it leaves out timezone semantics.

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 as a single daily Merkle digest covering reveals, hire deliverables, and verification records stored on BNB Greenfield, with the root sealed on opBNB. It lacks an explicit verb like 'get' or "retrieve', but its meaning is unmistakable. The Merkle-digest framing also helps distinguish it from sibling reporting tools.

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?

The description provides no guidance on when to use this tool instead of alternatives such as list_reveals, agent_report, or attestation_stats. It only explains the optional date parameter and its default, which is parameter guidance rather than tool-selection guidance.

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

A3.5/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but some overlap exists among report tools (situation_report, deep_report, market_state) and spec tools (attest_spec, proof_spec). These could confuse an agent selecting the most appropriate endpoint.

Naming Consistency4/5

Tool names use consistent snake_case and are descriptive, but follow mixed patterns: verb_noun for actions (buy_key, list_attestations) and bare nouns or noun phrases for data endpoints (prices, congestion, wall_map). This is readable but not fully uniform.

Tool Count3/5

With 26 tools, the set is heavy and covers multiple domains (attestation, market data, key management, webhooks). It sits just above the borderline for comfort, but the breadth is justifiable given the server's multi-purpose nature.

Completeness5/5

The tool surface provides full lifecycle coverage for attestation (create, read, verify), key management (buy, claim, status), and webhooks (register, status, unregister), plus a wide range of market data endpoints. There are no obvious gaps or dead ends.

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