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Kairos Signal — verifiable DePIN data API

fetch_dataset

Query records from a dataset with limit/offset. Free tier: 10 records per query. Purchase products or top up credits for more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax records (max 10 for free tier)
offsetNoRecord offset
datasetYesDataset name (e.g., depin_onchain)

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does disclose an important behavior: the free-tier limit of 10 records per query and that purchases/credits can raise it. It does not explicitly state read-only behavior, auth requirements, or what happens when the limit is exceeded, though 'query' strongly implies a read operation.

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?

Two concise sentences with no filler. The core behavior is front-loaded and the quota-related guidance is compact and useful.

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 gives enough to call the tool correctly with respect to the required dataset and pagination parameters. It also surfaces the important quota constraint. It is not exhaustive about output format or discovery of valid dataset names via list_datasets, but for a simple read-only fetch tool with a fully documented schema, this is largely 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?

The input schema covers 100% of parameters, so the description does not need to add much. It does mention 'limit/offset' and the free-tier cap, but these are also reflected in the schema descriptions. The description adds the purchasing/top-up context, which is a modest complement to the schema.

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?

States a specific verb+resource: 'Query records from a dataset with limit/offset.' This clearly indicates what the tool does and the kind of paginated response expected. It does not explicitly differentiate itself from sibling tools like list_datasets or get_stats, but the resource and action are concrete enough to be useful.

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

Usage Guidelines3/5

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

The description implies the tool is for fetching records from datasets and gives a context hint with the free tier limitation of 10 records per query. However, it does not explicitly say when to choose this tool over siblings such as list_datasets or get_stats. The usage context is present but left largely implied.

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

A3.7/5.0
Disambiguation4/5

Most tools target distinct actions (register, list, purchase, fetch, verify). The only ambiguity is between get_zk_provenance and verify_footprint, both providing cryptographic proofs, but they serve slightly different purposes (record provenance vs dataset footprint).

Naming Consistency5/5

All tools follow a consistent snake_case verb_noun pattern (e.g., list_datasets, purchase_data, check_balance), making the set predictable.

Tool Count5/5

10 tools is appropriate for the server's scope, covering user management, data browsing, purchasing, and verification without redundancy.

Completeness4/5

The set supports the full workflow: register, browse products/datasets, purchase, fetch data, check/top-up credits, and verify provenance. Minor gap: no way to view purchase history or account details, but core functionality is complete.

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