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Recent Alerts

recent_alerts
Read-onlyIdempotent

Pull fired events from your subscription feed. Returns the most recent alerts the evaluator has written to your persisted feed — each carries source, citation_uri (pipeworx:// when available), and the raw event payload. Filter by type (e.g. "sec_8k") and/or since (ISO timestamp). Set mark_read:true to flag returned events read so the next call only shows newer ones. Polls work fine; the same feed is also at GET registry.pipeworx.io/alerts.json for scripts and dashboards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoOptional — filter to one subscription type.
limitNoMax events to return (1-200, default 50).
sinceNoOptional ISO timestamp — return events fired_at >= this time.
mark_readNoFlag the returned events read in the same call (default false).
unread_onlyNoReturn only events where read_at is null (default false).

TDQS

A3.7/5.0
Behavior1/5

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

Description discloses that mark_read: true modifies state by flagging events as read, which contradicts the annotation readOnlyHint: true. This is an annotation contradiction, so score is 1 per rubric.

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?

Description is three well-structured sentences with no wasted words. Purpose is front-loaded, filtering and mark_read are explained succinctly, and alternative access method is appended efficiently.

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

Completeness5/5

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

Despite no output schema, description explains return structure (source, citation_uri, raw event payload), covers all parameter behaviors, addresses polling and alternative access, and is complete for a read-heavy tool with a minor mutation side effect.

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?

Schema coverage is 100%, providing baseline 3. Description adds value by giving concrete filter examples (type 'sec_8k', ISO timestamp) and explaining the mark_read side effect, going beyond 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?

Description clearly states it pulls fired events from a subscription feed, which is specific and distinct from sibling tools like 'recent_changes' or 'list_subscriptions'. The verb 'pull' and resource 'fired events from subscription feed' are precise.

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?

Description mentions polling works and provides an alternative URL for scripts, but does not explicitly differentiate from sibling tools or provide when-not-to-use guidance. Usage is implied but not contrasted with alternatives.

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
Disambiguation2/5

There are three overlapping ask_pipeworx variants (stable, beta, grounded) plus a dense cluster of six polymarket trading/arbitrage tools, making misselection likely. Several other tools also blur together around research aggregation and entity lookup (entity_profile, compare_entities, recent_changes, validate_claim).

Naming Consistency3/5

All tool names are lowercase and snake_case, but the pattern is inconsistent: some are verb_noun (get_structure, resolve_entity), some are noun phrases (recent_changes, polymarket_edges), and a few are bare verbs (remember, forget, recall). The ask_pipeworx_beta/ask_pipeworx_grounded suffix pattern is readable but not mirrored across the rest of the set.

Tool Count2/5

34 tools is above the 25+ threshold for a server whose stated purpose is Crystallography, and only 3 of those tools actually serve that domain. The rest belong to Pipeworx data lookup, Polymarket betting, memory, research, subscriptions, and unrelated utilities, so the count feels excessive and the scope is unclear.

Completeness3/5

As a broad data-research toolset, there is decent lifecycle coverage: lookup, research, grounded verification, entity resolution, comparison, subscriptions, feedback, and memory all exist. However, for a server named Crystallography the domain surface is thin (search/get/get CIF only), and there is no general web-search fallback for topics not in the structured catalog.