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governance_activity

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. DAO governance on Snapshot over a window: proposals, votes and scores per space, most active first. space is a Snapshot space id such as aavedao.eth. window in hours, default 168, max 2160

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
spaceNo
windowNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes

TDQS

B3.4/5.0
Behavior4/5

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

With no annotations to carry the burden, the description discloses useful behavioral details: it requires a ChainHelix API key or per-call payment, it returns proposals, votes and scores per space, and it was built with a sorting order ('most active first') and a window bound. It does not state side effects (likely none) or exact response format, but it is far above minimum.

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?

The description is one dense paragraph and begins with payment/API details rather than the tool's main purpose, which forces an agent to scan for relevance. However, every sentence carries essential information—two for auth/payment, one for output behavior, and two for parameters—so there is no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

In conjunction with an output schema, the description covers the core domain, but there are gaps. It does not explain how omitting `space` or setting `limit` changes results, nor whether the API key/payment options are mutually exclusive. Given no annotations and the external side-channel requirements, this rounds out to adequate but incomplete.

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 provides no descriptions (0% coverage), so the description must compensate. It explicitly defines 'space' with a concrete Snapshot id example and 'window' with units, default, and maximum. The only undocumented parameter is `limit`, which is fairly standard but would benefit from a note about whether it caps proposals or votes and whether it historically defaults.

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 (DAO governance on Snapshot) and the output content (proposals, votes, and scores per space). It lacks an explicit verb like 'list' or 'retrieve', but the behavior is unambiguous enough for an agent to differentiate it from siblings like 'open_interest' or 'prices'.

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 gives no guidance on when to choose this tool over alternatives or when not to use it. It does state preconditions (API key or payment), but it does not provide usage context such as 'use this when governance activity is needed and other tools are insufficient'.

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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