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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. Added

TDQS

A4.7/5.0
Behavior5/5

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

The description adds behavioral details beyond annotations: it explains the mark_read parameter's effect on subsequent calls, the persistency of the feed, and the content of each alert. No contradiction with annotations (readOnlyHint true is consistent since marking read is a minor state change, 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?

The description is concise (three sentences), front-loaded with purpose, and every sentence adds necessary information without redundancy.

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, the description covers return fields, all parameters, and usage patterns (polling, filter options). It is complete for a read-only, list-type tool with optional filters.

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%, so the baseline is 3. The description adds value by giving concrete examples (e.g., type: 'sec_8k'), explaining the mark_read flag's behavior, and noting the since parameter's meaning, which enriches parameter understanding.

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 uses a specific verb ('Pull') and clearly identifies the resource ('fired events from your subscription feed'). It distinguishes the tool from siblings like 'list_subscriptions' by focusing on retrieving alert events, not managing subscriptions.

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 explains filtering options and mentions that polling works fine, providing usage context. It also notes an alternative access method (GET endpoint) for scripts/dashboards, though it does not explicitly contrast with sibling tools.

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

B3.1/5.0
Disambiguation2/5

The tool set mixes two distinct domains: 8 Canadian Parliament tools and 30 Pipeworx data tools. Within each domain, tools are somewhat distinct, but the overall mix creates confusion as agents cannot tell if a tool is for parliament or general data lookup.

Naming Consistency2/5

OpenParliament tools follow a consistent verb_noun pattern (list_*, get_*), but Pipeworx tools use varied conventions (e.g., 'remember', 'discover_tools', 'ask_pipeworx'). The lack of a unified naming scheme across the set reduces predictability.

Tool Count2/5

38 tools is excessive for a Canadian Parliament server. The core parliament tools (8) are well-scoped, but the addition of 30 unrelated Pipeworx tools makes the count bloated and inappropriate for the stated domain.

Completeness1/5

For the Canadian Parliament domain, coverage is adequate but lacks topic search and detailed legislative history. However, the server is dominated by Pipeworx tools, which are out of scope, making the overall surface severely incomplete for the implied purpose.