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RiverWatch: USGS river levels & stream-flow gauges — per query

data_session_query

Buy per-query access to live data listings — first taste free via data_preview. Listing: RiverWatch: USGS river levels & stream-flow gauges at 0.01 USDC per query (max 20 queries/session). Sequence: data_session_open → data_session_fund → data_session_query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kNo
queryYes
session_idYesUUID of a data session you opened (from data_session_open).
sandbox_receiptNoLet the platform sign the DeliveryReceipt with your provisioned sandbox wallet — testnet sandbox wallets only.
delivery_receiptNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations are all false, so the description carries the burden of behavioral disclosure. It adds meaningful beyond-schema context: the operation costs 0.01 USDC per query, consumes a per-session quota, and depends on a prior open/fund flow. It does not describe failure modes or response shape, but the paid/quota/sequence behavior is useful and non-obvious.

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 compact and front-loaded with the purpose, then pricing/quota, then the required sequence. The listing-specific detail is useful context rather than fluff. It could be slightly tighter, but every sentence earns its place.

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?

For basic invocation, the description gives sufficient orientation: have a funded session, send a query, pay per call. However, with no output schema and only 40% parameter coverage, the definition leaves optional parameters (k, delivery_receipt) and return/error behavior unaddressed. It is adequate but has clear gaps.

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

Parameters2/5

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

Schema description coverage is only 40%, and the main description provides no parameter-level meaning. The schema covers session_id and sandbox_receipt, but k, query, and delivery_receipt remain effectively undocumented. With low coverage, the description was expected to compensate, and it does not.

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 conveys a specific commercial action — buying per-query access to live data listings — and references the exact sequence data_session_open → data_session_fund → data_session_query. It does not explicitly say 'run a query' in the main description, and the schema description is needed to make that fully explicit, so it stops just short of a 5.

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

Usage Guidelines5/5

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

It names data_preview as the free alternative ('first taste free via data_preview') and gives the explicit prerequisite sequence data_session_open → data_session_fund → data_session_query. It also communicates a hard usage bound: max 20 queries/session. This is clear when-to-use guidance against the sibling tools.

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

B3.3/5.0
Disambiguation2/5

Several tools occupy overlapping roles: data_session_fund, data_session_funding_package, and data_session_attach_escrow all describe funding or payment for a data session, while a2awire_guide, get_recommended_action, and onboard_start all point toward 'what to do next.' An agent could easily misroute payment or onboarding intent.

Naming Consistency4/5

Most names follow a snake_case verb_noun pattern like data_session_open, find_paid_work, and verify_contract. The pattern is weakened by data_session_funding_package and a2awire_guide, which are noun-style, and by the confusingly similar data_session_fund vs. data_session_funding_package.

Tool Count2/5

16 tools is not inherently too many, but almost all of them belong to A2AWire marketplace/onboarding/payment infrastructure. Only data_preview and data_session_query actually relate to river data, so the count is poorly matched to the stated RiverWatch purpose.

Completeness2/5

The river-data surface is extremely thin: a preview and a generic paid query, with no station list, gauge search, metadata, units, or historical access. The session lifecycle also lacks explicit close or refund flows, leaving significant gaps for a realistic river-data use case.

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