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Get Recent Agent Actions

get_recent_agent_actions
Read-only

Return the FlareWatch agent's recent action feed: surface, action kind (observation/propose/topup/rollback/claim/etc), outcome, and detect-to-remediate latency on the agent's own recoveries. Validator-surface entries are proposals only — the node's own controllers act, never the agent. Source: hourly signed snapshot, verifiable via chain_verify_url; available=false when it is unavailable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
since_ts_minuteNo

TDQS

A3.9/5.0
Behavior5/5

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

Annotations only declare readOnlyHint and openWorldHint; the description adds substantial non-redundant behavioral detail: the feed comes from an hourly signed snapshot, is verifiable via chain_verify_url, available=false when the snapshot is unavailable, and validator entries are proposals only. This goes well beyond the structured hints and helps an agent interpret results safely.

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?

Three tight sentences with no filler; each sentence adds an essential fact. The main output fields are front-loaded, followed by the validator caveat and source/availability details, so an agent gets the key information immediately.

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 covers the response fields, data source, verifiability, availability behavior, and validator semantics, which is strong for a read-only tool. However, there is no output schema and no parameter documentation, leaving since_ts_minute ambiguous and slightly reducing overall completeness.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not explain either parameter. 'limit' is partially inferable from its name and schema constraints, but 'since_ts_minute' is completely opaque — an agent cannot know what format or timezone to provide. The description provides zero compensation for the missing schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Return'), a specific resource ('FlareWatch agent's recent action feed'), and enumerates the feed's contents: surface, action kind, outcome, and detect-to-remediate latency. It also adds a distinguishing caveat that validator-surface entries are proposals only, so it is clearly distinct from sibling tools like get_agent_status or get_agent_capabilities.

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 intended use is implied by the description ('recent action feed') and clarified with agent-recovery context, but it does not explicitly state when to choose this tool over siblings, nor when not to use it. It gives useful context but no direct alternatives or exclusions.

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

A3.9/5.0
Disambiguation4/5

Most tools are cleanly separated by resource and action: list/compare/detail for validators and FTSO providers, network_* for distinct metrics, and get_my_* for wallet concerns. A couple of pairs could be confused (get_my_claimable vs get_my_rewards_history, and the network_* trio), but the descriptions provide enough boundary detail to pick correctly.

Naming Consistency5/5

Naming is highly consistent: all tools use snake_case with a leading verb (get_, list_, compare_, simulate_, verify_). The pattern is predictable, so an agent can infer the shape of an operation before reading its description.

Tool Count2/5

At 27 tools, the surface exceeds the 25-tool threshold and feels heavy, especially with five get_my_* personal tools, five agent-oriented tools, and three network_* tools. The broad scope explains some of the count, but many of these could be consolidated or split across separate servers.

Completeness4/5

The read-only analytics surface is quite comprehensive: validators, FTSO providers, network economics, chain activity, DeFi, FAssets, prices, feeds, personal balances, delegations, and agent status are all covered. Explicit gaps remain, such as FLR-side claimables, full tax record assembly, and a complete per-epoch rewards timeline, but these are clearly flagged as follow-on phases rather than dead ends.

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