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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

A4.5/5.0
Behavior5/5

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

Despite annotations indicating read-only, the description discloses that mark_read:true mutates the feed's read state, a side effect beyond what annotations imply. It also explains polling behavior and the persisted-feed nature, providing valuable behavioral context that annotations do not cover.

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, each earning its place: purpose, return payload details, filtering options, and mark_read/alternative access. Information is front-loaded and there is no redundancy or fluff.

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?

For a tool with no output schema, the description explains return content (source, citation_uri, raw payload), filtering, the side effect of mark_read, and alternate access via URL. All parameters are documented in the schema, and annotations cover safety. The description is complete for effective use.

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 descriptions cover 100% of parameters, so baseline is 3. The description adds semantic value by giving a concrete example for type ('sec_8k'), explaining that since uses ISO timestamps, and clarifying mark_read's effect on subsequent calls. It does not over-explain what the schema already covers.

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 a specific verb and resource: 'Pull fired events from your subscription feed.' It clearly distinguishes this tool from siblings by focusing on alerts/events from the persisted feed, with details about return payloads and filtering that set it apart from generic list or change tools.

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 description implies usage context (polling for recent alerts, filtering by type/time) but does not explicitly state when to use this tool versus alternatives like list_subscriptions or recent_changes. It provides an alternative URL for scripts/dashboards, but no direct when/when-not guidance relative to 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

B3.4/5.0
Disambiguation3/5

Tools are generally distinguishable by name and description, but there are several similar query/verification tools (ask_pipeworx, ask_pipeworx_grounded, deep_research, validate_claim) and multiple meta-tools (discover_tools, suggest_questions), causing some ambiguity for agents.

Naming Consistency2/5

Naming conventions are inconsistent: some tools use verb_noun (search_projects, validate_claim), others are noun_preposition_noun (projects_by_country), single verbs (remember, forget), or compound phrases (generate_llms_txt). No clear pattern.

Tool Count1/5

33 tools is excessive for a server named 'Worldbank Projects', as only 3-4 tools directly relate to Worldbank data. The rest are generic Pipeworx utilities and unrelated domains, making the tool count inappropriate for the server's stated purpose.

Completeness1/5

For the domain of Worldbank Projects, only basic lookup and search tools are provided (search_projects, get_project, projects_by_country). Missing essential CRUD operations, filtering by sector/theme, or project lifecycle management. The server's tool surface is severely incomplete for its intended focus.