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stellar_events_watch

Watch Stellar network contract events and filter by contract IDs, topics, event type, or ledger range to monitor on-chain activity.

Instructions

Watch the network for contract events

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoThe maximum number of events to display (default: 10)
cursorNoThe cursor corresponding to the start of the event range
outputNoOutput formatting options for event stream
rpcUrlNoRPC server endpoint
networkNoName of network to use from config
configDirNoLocation of config directory
eventTypeNoSpecifies which type of contract events to display
rpcHeadersNoRPC Header(s) to include in requests to the RPC provider
contractIdsNoA set of (up to 5) contract IDs to filter events on
startLedgerNoThe first ledger sequence number in the range to pull events
topicFiltersNoA set of (up to 4) topic filters to filter event topics on
networkPassphraseNoNetwork passphrase to sign the transaction sent to the rpc server

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It says 'watch', which implies monitoring, but does not explain whether the tool streams continuously, polls, blocks, paginates, or terminates after a default count of events. Given 12 optional parameters including count and cursor, the ambiguity is significant.

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?

The description is a single front-loaded clause with no filler or redundancy. It is appropriately concise for the surface-level purpose statement, though other dimensions suffer from the brevity.

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

Completeness2/5

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

This is a complex 12-parameter tool with no annotations and no output schema. The description does not explain return format, pagination or streaming behavior, default output, or required network/config context, leaving substantial gaps for an agent to infer.

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?

Schema description coverage is 100%, so the input schema already documents all 12 parameters in detail. The description adds no additional meaning beyond what the schema provides, which is the baseline expectation when schema coverage is high.

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 (watch) and resource (contract events). It is clear enough to identify the tool's main function, but it does not distinguish this tool from adjacent siblings such as ledger_fetch or contract_read, nor does it describe the scope of the watch (e.g., live stream vs. paginated event query).

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?

No explicit guidance on when to use this tool versus alternatives, nor any when-not conditions. The only implied usage is watching contract events, with no mention of prerequisites, network context, or how to choose among event-related siblings.

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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