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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).

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?

Adds value beyond annotations by explaining feed behavior, mark_read side effect (marks events read for subsequent calls), and return payload. Annotations already cover safety (readOnly, idempotent, not destructive).

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?

Four sentences, front-loaded with purpose. Every sentence provides useful information. No redundancy or filler.

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?

Given no output schema, description explains return fields and alternative access URL. Covers filtering, mark_read, and polling suitability. Could mention pagination limits, but schema already provides limit parameter with default and range.

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 coverage is 100%, so baseline is 3. Description adds context for mark_read (explains side effect) and since (ISO timestamp, fired_at). No enums or nested objects, but clarity is adequate.

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?

Clearly states 'Pull fired events from your subscription feed' and specifies returned fields (source, citation_uri, payload). Distinguishes action from siblings but lacks explicit differentiation.

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?

Provides filtering options (type, since) and mark_read behavior. Mentions polling and alternative URL access. Does not explicitly compare to sibling tools or state when not to use.

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

A3.6/5.0
Disambiguation2/5

The tool set mixes tools from multiple unrelated domains (HathiTrust, Pipeworx data platform, Polymarket, npm, etc.), making it unclear which tool to use for a given task. Overlap exists between ask_pipeworx and ask_pipeworx_grounded, and between several Polymarket tools, while the HathiTrust-specific tools are few and buried among many others, causing confusion.

Naming Consistency2/5

Naming conventions are inconsistent across the tool set. Some tools use verb_noun (check_full_view, lookup_by_identifier), others use noun_verb (entity_profile, deep_research), and some are single verbs (forget, remember, subscribe). There is no predictable pattern, making it harder for an agent to guess tool names.

Tool Count1/5

With 33 tools, the count is high, but only 3 (get_record, lookup_by_identifier, check_full_view) are relevant to the server's stated purpose (HathiTrust). The remaining 30 tools appear to be from unrelated domains (Pipeworx data platform, Polymarket, npm, etc.), making the tool count severely mismatched with the server name.

Completeness2/5

For the HathiTrust domain, the tool surface is severely incomplete: only three basic lookup tools with no search, browse, or management capabilities. The broader set includes tools for many other domains, but that does not compensate for the lack of coverage of the server's primary purpose.