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

get_agent_contract

Read-onlyIdempotent

✅ No API key needed — call this now. Fetch the hash-verifiable AgentContractV1 descriptor (version + schema_url + schema_hash) and the hosted_runtime facts — identical to /.well-known/agent.json. Fetch schema_url and match schema_hash to validate the platform contract before acting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
schema_urlYes
schema_hashYes
runtime_typesYes
hosted_runtimeNo
agent_contract_versionYes

Schema Changelog

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

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior. The description adds useful behavioral details beyond annotations: no API key required, response is identical to /.well-known/agent.json, and the data is hash-verifiable for contract validation. No contradiction with annotations.

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 front-loaded with the key call-to-action and includes the essential information, but it contains redundancy: 'Fetch schema_url and match schema_hash' repeats fields already listed earlier, and the emoji/call-now style adds noise without new semantic content. Could be tightened.

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 no-argument read-only tool with an output schema present, the description provides enough context: what is returned, how to use it for validation, and the auth requirement (none). The equivalence to /.well-known/agent.json further disambiguates the returned payload. Nothing critical is missing.

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 tool takes zero parameters, and the input schema itself explains that the owner is derived from the authenticated principal. The description does not need to add parameter semantics; per the calibration baseline for 0-parameter tools, this is sufficient.

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 states a specific verb (fetch), a specific resource (AgentContractV1 descriptor), and lists the exact fields returned (version, schema_url, schema_hash, hosted_runtime facts), plus the equivalence to /.well-known/agent.json. This makes the tool's purpose clear, though it does not explicitly differentiate from the sibling verify_contract tool.

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?

The description gives clear usage context: no API key is needed, it should be called before acting, and the returned schema_hash should be matched to validate the platform contract. It does not explicitly mention alternatives or exclusions, but the instruction to call it early is actionable.

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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