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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

A3.9/5.0
Behavior1/5

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

Annotation Contradiction: The tool is marked readOnlyHint=true, but the description states setting mark_read:true 'flag returned events read so the next call only shows newer ones' — a state-changing side effect. This directly contradicts the read-only annotation. Despite the description being transparent about the behavior, the contradiction warrants a score of 1 per the 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?

Four sentences, front-loaded with the core function, no redundancy. Each sentence contributes either return-shape details, filtering options, state-mutation semantics, or a direct link alternative. Properly sized for the tool's complexity.

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?

The description covers return shape, filtering, state mutation, polling suitability, and an external endpoint. For a tool with 5 optional parameters and no output schema, this provides comprehensive context for an agent to decide when and how to invoke it.

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 a concrete example for type ('sec_8k'), clarifying the 'since' format (ISO timestamp), and explaining the effect of mark_read on subsequent calls. This enriches the bare schema definitions.

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 opens with 'Pull fired events from your subscription feed', which is a specific verb+resource pairing. It clearly states the tool returns the most recent alerts with detailed payload attributes, distinguishing it from siblings like list_subscriptions (which lists subscriptions, not events) and recent_changes.

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?

It provides concrete usage context: filtering by type (e.g., 'sec_8k') and since (ISO timestamp), mark_read behavior for pagination-like reading, and even an alternative endpoint for scripts/dashboards. While it doesn't explicitly name sibling tools to avoid, it gives clear scenarios and 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

A3.5/5.0
Disambiguation1/5

Many tools have overlapping purposes (e.g., ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded all route questions; polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker all deal with prediction market edges). The inclusion of memory tools (remember, recall, forget) alongside research tools further blurs boundaries.

Naming Consistency2/5

Naming conventions are mixed: some tools use snake_case (ai_visibility_check), some use underscores with prefixes (ask_pipeworx, polymarket_arbitrage), and others are more generic (query_layer, layer_info). There is no consistent pattern across the set.

Tool Count2/5

With 34 tools, the set is overly large for a geospatial server; most tools are unrelated to ArcGIS Kansas (e.g., prediction market tools, general research tools). Only 3 tools (search_datasets, layer_info, query_layer) are pertinent, making the count excessive and unfocused.

Completeness1/5

The server claims to be an ArcGIS Kansas tool but provides only basic layer querying and dataset search. Missing essential GIS operations such as editing, spatial analysis, or advanced queries, making it severely incomplete for its stated purpose.